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Programación en C Ingeniería eléctrica Electrónica Ingeniería Microcontrolador
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Sardar Hasnain A.

@Mahihassi

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5,0
359

8,7

8,7

100%

Electrical Engineer | Embedded Systems

$35 USD / hora

・

Bandera de

Pakistan (3:17 a. m.)

・

Se unió el abril 11, 2020

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33 Recomendaciones

$35 USD / hora

・

I am a dedicated Electrical Engineer with a Master’s in Embedded Systems, specializing in firmware development, PCB design, and complete IoT product engineering. From concept to market-ready product, I deliver robust embedded solutions that combine hardware, software, and intelligent connectivity. Core Expertise -> Microcontrollers & Embedded Systems: STM32, ESP32, TI Tiva, C2000, MSP430 (Texas Instruments), NXP LPC & [login to view URL] RT, Nordic nRF52/nRF53, Microchip PIC32 & dsPIC, Raspberry Pi, and Arduino. -> Firmware Development: Embedded C/C++, RTOS, DMA, peripheral drivers, wireless stacks (BLE, Wi-Fi, LoRa, Zigbee). -> PCB Design & RF Hardware: Professional PCB layouts using Altium Designer, KiCad, Eagle, EasyEDA and Target. Specialized in RF, IoT, and high-speed boards. -> FPGA Development: Verilog/VHDL for signal processing, hardware acceleration, and high-performance digital systems. -> AI, Machine Learning & Deep Learning: Intelligent algorithms for edge devices, control, and data analysis. -> Robotics & Control: Robotic platforms, precision motor control (FOC, PID), and industrial automation. -> Biomedical Instrumentation: Embedded systems for healthcare and diagnostic devices. -> CAD & Mechanical: 3D CAD modeling for custom housings and production-ready enclosures. Full Product Development Workflow From Idea → Prototype → Final Product System Architecture & Schematics Firmware Development (optimized embedded coding & drivers) PCB Design (multi-layer, RF, low-power, IoT-ready) AI/ML Integration (edge computing & analytics) IoT Connectivity (MQTT, APIs, BLE, Wi-Fi, LoRa, Zigbee) Web & Mobile App Development (real-time dashboards & control apps) Mechanical CAD (3D modeling & enclosures) Software Development Web Applications: Cloud dashboards, real-time monitoring, secure APIs, SaaS platforms. Mobile Applications: Cross-platform IoT control, monitoring, and productivity apps. IoT Communication: Secure & scalable device-to-cloud pipelines (MQTT, REST, WebSockets). Trading & FinTech: Algorithmic trading systems, exchange integrations (Binance, TradingView APIs). Game Development: WebGL, HTML5, Unity3D, 3ds Max, Maya, Unreal Engine 4/5, Godot. Emerging Tech: Blockchain & Web3 apps, AI-powered platforms, cloud-native solutions (AWS, Azure, GCP).

Verificaciones

A tiempo

96 %

Dentro del presupuesto

95 %

Aceptar tarifa

80 %

Tasa de recontratación

23 %

Freelancer Electrical Engineers Pakistan
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13982716
We worked on a professional show lighting controller platform used in amusement park installations and large-scale entertainment venues. Our team was responsible for embedded firmware development, system maintenance, debugging, and validation on a dedicated hardware testbench. The controller is built around an STM32F7 ARM-based processor and runs on an RTOS to manage multiple real-time tasks. Our firmware work focused on reliable task scheduling, synchronized lighting pattern playback, hardware-level control, and stable communication between different parts of the system. Since this product is used in live entertainment environments, timing accuracy and system reliability were very important. A major part of the work involved Ethernet-based communication for professional lighting control. We supported industry-standard protocols such as Artnet and sACN, allowing lighting operators to control and synchronize outputs through network-connected systems. We also worked on firmware update

STM32-Based Show Lighting Controller

We worked on a professional show lighting controller platform used in amusement park installations and large-scale entertainment venues. Our team was responsible for embedded firmware development, system maintenance, debugging, and validation on a dedicated hardware testbench. The controller is built around an STM32F7 ARM-based processor and runs on an RTOS to manage multiple real-time tasks. Our firmware work focused on reliable task scheduling, synchronized lighting pattern playback, hardware-level control, and stable communication between different parts of the system. Since this product is used in live entertainment environments, timing accuracy and system reliability were very important. A major part of the work involved Ethernet-based communication for professional lighting control. We supported industry-standard protocols such as Artnet and sACN, allowing lighting operators to control and synchronize outputs through network-connected systems. We also worked on firmware update

STM32-Based Show Lighting Controller

We worked on a professional show lighting controller platform used in amusement park installations and large-scale entertainment venues. Our team was responsible for embedded firmware development, system maintenance, debugging, and validation on a dedicated hardware testbench. The controller is built around an STM32F7 ARM-based processor and runs on an RTOS to manage multiple real-time tasks. Our firmware work focused on reliable task scheduling, synchronized lighting pattern playback, hardware-level control, and stable communication between different parts of the system. Since this product is used in live entertainment environments, timing accuracy and system reliability were very important. A major part of the work involved Ethernet-based communication for professional lighting control. We supported industry-standard protocols such as Artnet and sACN, allowing lighting operators to control and synchronize outputs through network-connected systems. We also worked on firmware update

STM32-Based Show Lighting Controller

We worked on a professional show lighting controller platform used in amusement park installations and large-scale entertainment venues. Our team was responsible for embedded firmware development, system maintenance, debugging, and validation on a dedicated hardware testbench. The controller is built around an STM32F7 ARM-based processor and runs on an RTOS to manage multiple real-time tasks. Our firmware work focused on reliable task scheduling, synchronized lighting pattern playback, hardware-level control, and stable communication between different parts of the system. Since this product is used in live entertainment environments, timing accuracy and system reliability were very important. A major part of the work involved Ethernet-based communication for professional lighting control. We supported industry-standard protocols such as Artnet and sACN, allowing lighting operators to control and synchronize outputs through network-connected systems. We also worked on firmware update

STM32-Based Show Lighting Controller

We worked on a professional show lighting controller platform used in amusement park installations and large-scale entertainment venues. Our team was responsible for embedded firmware development, system maintenance, debugging, and validation on a dedicated hardware testbench. The controller is built around an STM32F7 ARM-based processor and runs on an RTOS to manage multiple real-time tasks. Our firmware work focused on reliable task scheduling, synchronized lighting pattern playback, hardware-level control, and stable communication between different parts of the system. Since this product is used in live entertainment environments, timing accuracy and system reliability were very important. A major part of the work involved Ethernet-based communication for professional lighting control. We supported industry-standard protocols such as Artnet and sACN, allowing lighting operators to control and synchronize outputs through network-connected systems. We also worked on firmware update

STM32-Based Show Lighting Controller

We worked on a professional show lighting controller platform used in amusement park installations and large-scale entertainment venues. Our team was responsible for embedded firmware development, system maintenance, debugging, and validation on a dedicated hardware testbench. The controller is built around an STM32F7 ARM-based processor and runs on an RTOS to manage multiple real-time tasks. Our firmware work focused on reliable task scheduling, synchronized lighting pattern playback, hardware-level control, and stable communication between different parts of the system. Since this product is used in live entertainment environments, timing accuracy and system reliability were very important. A major part of the work involved Ethernet-based communication for professional lighting control. We supported industry-standard protocols such as Artnet and sACN, allowing lighting operators to control and synchronize outputs through network-connected systems. We also worked on firmware update

STM32-Based Show Lighting Controller

We worked on a professional show lighting controller platform used in amusement park installations and large-scale entertainment venues. Our team was responsible for embedded firmware development, system maintenance, debugging, and validation on a dedicated hardware testbench. The controller is built around an STM32F7 ARM-based processor and runs on an RTOS to manage multiple real-time tasks. Our firmware work focused on reliable task scheduling, synchronized lighting pattern playback, hardware-level control, and stable communication between different parts of the system. Since this product is used in live entertainment environments, timing accuracy and system reliability were very important. A major part of the work involved Ethernet-based communication for professional lighting control. We supported industry-standard protocols such as Artnet and sACN, allowing lighting operators to control and synchronize outputs through network-connected systems. We also worked on firmware update

STM32-Based Show Lighting Controller

We worked on a professional show lighting controller platform used in amusement park installations and large-scale entertainment venues. Our team was responsible for embedded firmware development, system maintenance, debugging, and validation on a dedicated hardware testbench. The controller is built around an STM32F7 ARM-based processor and runs on an RTOS to manage multiple real-time tasks. Our firmware work focused on reliable task scheduling, synchronized lighting pattern playback, hardware-level control, and stable communication between different parts of the system. Since this product is used in live entertainment environments, timing accuracy and system reliability were very important. A major part of the work involved Ethernet-based communication for professional lighting control. We supported industry-standard protocols such as Artnet and sACN, allowing lighting operators to control and synchronize outputs through network-connected systems. We also worked on firmware update

STM32-Based Show Lighting Controller

13978313
Developed a real-time AI-powered computer vision system integrated with custom embedded hardware for Nintendo Switch gameplay analysis and control. The project combined YOLOv8-based object detection, ONNX optimization, target tracking, predictive aiming, multiplayer synchronization, UDP low-latency communication, and microcontroller-based hardware integration. The system performs real-time detection, tracking, prediction, and control actions while maintaining low latency and stable performance. The solution required expertise in AI, computer vision, embedded systems, firmware development, networking, and real-time system engineering. We designed and implemented the complete detect → predict → aim → actuate pipeline, including model training, optimization, hardware integration, testing, and validation.

AI Vision & Embedded Control System

Developed a real-time AI-powered computer vision system integrated with custom embedded hardware for Nintendo Switch gameplay analysis and control. The project combined YOLOv8-based object detection, ONNX optimization, target tracking, predictive aiming, multiplayer synchronization, UDP low-latency communication, and microcontroller-based hardware integration. The system performs real-time detection, tracking, prediction, and control actions while maintaining low latency and stable performance. The solution required expertise in AI, computer vision, embedded systems, firmware development, networking, and real-time system engineering. We designed and implemented the complete detect → predict → aim → actuate pipeline, including model training, optimization, hardware integration, testing, and validation.

AI Vision & Embedded Control System

Developed a real-time AI-powered computer vision system integrated with custom embedded hardware for Nintendo Switch gameplay analysis and control. The project combined YOLOv8-based object detection, ONNX optimization, target tracking, predictive aiming, multiplayer synchronization, UDP low-latency communication, and microcontroller-based hardware integration. The system performs real-time detection, tracking, prediction, and control actions while maintaining low latency and stable performance. The solution required expertise in AI, computer vision, embedded systems, firmware development, networking, and real-time system engineering. We designed and implemented the complete detect → predict → aim → actuate pipeline, including model training, optimization, hardware integration, testing, and validation.

AI Vision & Embedded Control System

Developed a real-time AI-powered computer vision system integrated with custom embedded hardware for Nintendo Switch gameplay analysis and control. The project combined YOLOv8-based object detection, ONNX optimization, target tracking, predictive aiming, multiplayer synchronization, UDP low-latency communication, and microcontroller-based hardware integration. The system performs real-time detection, tracking, prediction, and control actions while maintaining low latency and stable performance. The solution required expertise in AI, computer vision, embedded systems, firmware development, networking, and real-time system engineering. We designed and implemented the complete detect → predict → aim → actuate pipeline, including model training, optimization, hardware integration, testing, and validation.

AI Vision & Embedded Control System

13842265
TalkShift is an AI-powered iOS communication assistant designed to help users improve, translate, and generate messages instantly. The app integrates AI text enhancement and real-time translation directly into the messaging workflow, allowing users to communicate more effectively across different languages and tones. Users can rewrite messages professionally, generate smart replies from conversation history, or instantly translate messages before sending them to platforms like WhatsApp, Instagram, or iMessage. Core Features • Real-time text translation between languages • AI-powered grammar and tone correction • GPT-based smart reply generation • Context-aware responses from chat history • Multiple tone styles (professional, friendly, casual, etc.) • Custom prompt categories for message rewriting • Built-in analytics and crash reporting system

AI Messaging Assistant iOS App

TalkShift is an AI-powered iOS communication assistant designed to help users improve, translate, and generate messages instantly. The app integrates AI text enhancement and real-time translation directly into the messaging workflow, allowing users to communicate more effectively across different languages and tones. Users can rewrite messages professionally, generate smart replies from conversation history, or instantly translate messages before sending them to platforms like WhatsApp, Instagram, or iMessage. Core Features • Real-time text translation between languages • AI-powered grammar and tone correction • GPT-based smart reply generation • Context-aware responses from chat history • Multiple tone styles (professional, friendly, casual, etc.) • Custom prompt categories for message rewriting • Built-in analytics and crash reporting system

AI Messaging Assistant iOS App

TalkShift is an AI-powered iOS communication assistant designed to help users improve, translate, and generate messages instantly. The app integrates AI text enhancement and real-time translation directly into the messaging workflow, allowing users to communicate more effectively across different languages and tones. Users can rewrite messages professionally, generate smart replies from conversation history, or instantly translate messages before sending them to platforms like WhatsApp, Instagram, or iMessage. Core Features • Real-time text translation between languages • AI-powered grammar and tone correction • GPT-based smart reply generation • Context-aware responses from chat history • Multiple tone styles (professional, friendly, casual, etc.) • Custom prompt categories for message rewriting • Built-in analytics and crash reporting system

AI Messaging Assistant iOS App

TalkShift is an AI-powered iOS communication assistant designed to help users improve, translate, and generate messages instantly. The app integrates AI text enhancement and real-time translation directly into the messaging workflow, allowing users to communicate more effectively across different languages and tones. Users can rewrite messages professionally, generate smart replies from conversation history, or instantly translate messages before sending them to platforms like WhatsApp, Instagram, or iMessage. Core Features • Real-time text translation between languages • AI-powered grammar and tone correction • GPT-based smart reply generation • Context-aware responses from chat history • Multiple tone styles (professional, friendly, casual, etc.) • Custom prompt categories for message rewriting • Built-in analytics and crash reporting system

AI Messaging Assistant iOS App

TalkShift is an AI-powered iOS communication assistant designed to help users improve, translate, and generate messages instantly. The app integrates AI text enhancement and real-time translation directly into the messaging workflow, allowing users to communicate more effectively across different languages and tones. Users can rewrite messages professionally, generate smart replies from conversation history, or instantly translate messages before sending them to platforms like WhatsApp, Instagram, or iMessage. Core Features • Real-time text translation between languages • AI-powered grammar and tone correction • GPT-based smart reply generation • Context-aware responses from chat history • Multiple tone styles (professional, friendly, casual, etc.) • Custom prompt categories for message rewriting • Built-in analytics and crash reporting system

AI Messaging Assistant iOS App

TalkShift is an AI-powered iOS communication assistant designed to help users improve, translate, and generate messages instantly. The app integrates AI text enhancement and real-time translation directly into the messaging workflow, allowing users to communicate more effectively across different languages and tones. Users can rewrite messages professionally, generate smart replies from conversation history, or instantly translate messages before sending them to platforms like WhatsApp, Instagram, or iMessage. Core Features • Real-time text translation between languages • AI-powered grammar and tone correction • GPT-based smart reply generation • Context-aware responses from chat history • Multiple tone styles (professional, friendly, casual, etc.) • Custom prompt categories for message rewriting • Built-in analytics and crash reporting system

AI Messaging Assistant iOS App

TalkShift is an AI-powered iOS communication assistant designed to help users improve, translate, and generate messages instantly. The app integrates AI text enhancement and real-time translation directly into the messaging workflow, allowing users to communicate more effectively across different languages and tones. Users can rewrite messages professionally, generate smart replies from conversation history, or instantly translate messages before sending them to platforms like WhatsApp, Instagram, or iMessage. Core Features • Real-time text translation between languages • AI-powered grammar and tone correction • GPT-based smart reply generation • Context-aware responses from chat history • Multiple tone styles (professional, friendly, casual, etc.) • Custom prompt categories for message rewriting • Built-in analytics and crash reporting system

AI Messaging Assistant iOS App

TalkShift is an AI-powered iOS communication assistant designed to help users improve, translate, and generate messages instantly. The app integrates AI text enhancement and real-time translation directly into the messaging workflow, allowing users to communicate more effectively across different languages and tones. Users can rewrite messages professionally, generate smart replies from conversation history, or instantly translate messages before sending them to platforms like WhatsApp, Instagram, or iMessage. Core Features • Real-time text translation between languages • AI-powered grammar and tone correction • GPT-based smart reply generation • Context-aware responses from chat history • Multiple tone styles (professional, friendly, casual, etc.) • Custom prompt categories for message rewriting • Built-in analytics and crash reporting system

AI Messaging Assistant iOS App

13841385
This portfolio showcases multiple Bluetooth Low Energy (BLE) IoT systems developed for industrial and embedded applications. The projects include custom PCB hardware design, embedded firmware development, wireless communication protocols, and IoT data streaming systems built using STM32, Nordic nRF, and TI wireless chipsets. These systems were designed for low-power wireless communication, sensor monitoring, and real-time device control. Core Engineering Areas • BLE firmware development • IoT wireless sensor nodes • real-time data streaming over BLE • custom PCB design for wireless devices • ultra-low-power embedded systems • OTA firmware updates • multi-node wireless communication Main Systems Included 1) STM32WB55 BLE Sensor System 2) Nordic nRF52840 NFC + BLE Device 3) TI CC2652 Wireless IoT Node

Industrial IoT BLE Systems

This portfolio showcases multiple Bluetooth Low Energy (BLE) IoT systems developed for industrial and embedded applications. The projects include custom PCB hardware design, embedded firmware development, wireless communication protocols, and IoT data streaming systems built using STM32, Nordic nRF, and TI wireless chipsets. These systems were designed for low-power wireless communication, sensor monitoring, and real-time device control. Core Engineering Areas • BLE firmware development • IoT wireless sensor nodes • real-time data streaming over BLE • custom PCB design for wireless devices • ultra-low-power embedded systems • OTA firmware updates • multi-node wireless communication Main Systems Included 1) STM32WB55 BLE Sensor System 2) Nordic nRF52840 NFC + BLE Device 3) TI CC2652 Wireless IoT Node

Industrial IoT BLE Systems

This portfolio showcases multiple Bluetooth Low Energy (BLE) IoT systems developed for industrial and embedded applications. The projects include custom PCB hardware design, embedded firmware development, wireless communication protocols, and IoT data streaming systems built using STM32, Nordic nRF, and TI wireless chipsets. These systems were designed for low-power wireless communication, sensor monitoring, and real-time device control. Core Engineering Areas • BLE firmware development • IoT wireless sensor nodes • real-time data streaming over BLE • custom PCB design for wireless devices • ultra-low-power embedded systems • OTA firmware updates • multi-node wireless communication Main Systems Included 1) STM32WB55 BLE Sensor System 2) Nordic nRF52840 NFC + BLE Device 3) TI CC2652 Wireless IoT Node

Industrial IoT BLE Systems

This portfolio showcases multiple Bluetooth Low Energy (BLE) IoT systems developed for industrial and embedded applications. The projects include custom PCB hardware design, embedded firmware development, wireless communication protocols, and IoT data streaming systems built using STM32, Nordic nRF, and TI wireless chipsets. These systems were designed for low-power wireless communication, sensor monitoring, and real-time device control. Core Engineering Areas • BLE firmware development • IoT wireless sensor nodes • real-time data streaming over BLE • custom PCB design for wireless devices • ultra-low-power embedded systems • OTA firmware updates • multi-node wireless communication Main Systems Included 1) STM32WB55 BLE Sensor System 2) Nordic nRF52840 NFC + BLE Device 3) TI CC2652 Wireless IoT Node

Industrial IoT BLE Systems

This portfolio showcases multiple Bluetooth Low Energy (BLE) IoT systems developed for industrial and embedded applications. The projects include custom PCB hardware design, embedded firmware development, wireless communication protocols, and IoT data streaming systems built using STM32, Nordic nRF, and TI wireless chipsets. These systems were designed for low-power wireless communication, sensor monitoring, and real-time device control. Core Engineering Areas • BLE firmware development • IoT wireless sensor nodes • real-time data streaming over BLE • custom PCB design for wireless devices • ultra-low-power embedded systems • OTA firmware updates • multi-node wireless communication Main Systems Included 1) STM32WB55 BLE Sensor System 2) Nordic nRF52840 NFC + BLE Device 3) TI CC2652 Wireless IoT Node

Industrial IoT BLE Systems

This portfolio showcases multiple Bluetooth Low Energy (BLE) IoT systems developed for industrial and embedded applications. The projects include custom PCB hardware design, embedded firmware development, wireless communication protocols, and IoT data streaming systems built using STM32, Nordic nRF, and TI wireless chipsets. These systems were designed for low-power wireless communication, sensor monitoring, and real-time device control. Core Engineering Areas • BLE firmware development • IoT wireless sensor nodes • real-time data streaming over BLE • custom PCB design for wireless devices • ultra-low-power embedded systems • OTA firmware updates • multi-node wireless communication Main Systems Included 1) STM32WB55 BLE Sensor System 2) Nordic nRF52840 NFC + BLE Device 3) TI CC2652 Wireless IoT Node

Industrial IoT BLE Systems

This portfolio showcases multiple Bluetooth Low Energy (BLE) IoT systems developed for industrial and embedded applications. The projects include custom PCB hardware design, embedded firmware development, wireless communication protocols, and IoT data streaming systems built using STM32, Nordic nRF, and TI wireless chipsets. These systems were designed for low-power wireless communication, sensor monitoring, and real-time device control. Core Engineering Areas • BLE firmware development • IoT wireless sensor nodes • real-time data streaming over BLE • custom PCB design for wireless devices • ultra-low-power embedded systems • OTA firmware updates • multi-node wireless communication Main Systems Included 1) STM32WB55 BLE Sensor System 2) Nordic nRF52840 NFC + BLE Device 3) TI CC2652 Wireless IoT Node

Industrial IoT BLE Systems

This portfolio showcases multiple Bluetooth Low Energy (BLE) IoT systems developed for industrial and embedded applications. The projects include custom PCB hardware design, embedded firmware development, wireless communication protocols, and IoT data streaming systems built using STM32, Nordic nRF, and TI wireless chipsets. These systems were designed for low-power wireless communication, sensor monitoring, and real-time device control. Core Engineering Areas • BLE firmware development • IoT wireless sensor nodes • real-time data streaming over BLE • custom PCB design for wireless devices • ultra-low-power embedded systems • OTA firmware updates • multi-node wireless communication Main Systems Included 1) STM32WB55 BLE Sensor System 2) Nordic nRF52840 NFC + BLE Device 3) TI CC2652 Wireless IoT Node

Industrial IoT BLE Systems

This portfolio showcases multiple Bluetooth Low Energy (BLE) IoT systems developed for industrial and embedded applications. The projects include custom PCB hardware design, embedded firmware development, wireless communication protocols, and IoT data streaming systems built using STM32, Nordic nRF, and TI wireless chipsets. These systems were designed for low-power wireless communication, sensor monitoring, and real-time device control. Core Engineering Areas • BLE firmware development • IoT wireless sensor nodes • real-time data streaming over BLE • custom PCB design for wireless devices • ultra-low-power embedded systems • OTA firmware updates • multi-node wireless communication Main Systems Included 1) STM32WB55 BLE Sensor System 2) Nordic nRF52840 NFC + BLE Device 3) TI CC2652 Wireless IoT Node

Industrial IoT BLE Systems

This portfolio showcases multiple Bluetooth Low Energy (BLE) IoT systems developed for industrial and embedded applications. The projects include custom PCB hardware design, embedded firmware development, wireless communication protocols, and IoT data streaming systems built using STM32, Nordic nRF, and TI wireless chipsets. These systems were designed for low-power wireless communication, sensor monitoring, and real-time device control. Core Engineering Areas • BLE firmware development • IoT wireless sensor nodes • real-time data streaming over BLE • custom PCB design for wireless devices • ultra-low-power embedded systems • OTA firmware updates • multi-node wireless communication Main Systems Included 1) STM32WB55 BLE Sensor System 2) Nordic nRF52840 NFC + BLE Device 3) TI CC2652 Wireless IoT Node

Industrial IoT BLE Systems

This portfolio showcases multiple Bluetooth Low Energy (BLE) IoT systems developed for industrial and embedded applications. The projects include custom PCB hardware design, embedded firmware development, wireless communication protocols, and IoT data streaming systems built using STM32, Nordic nRF, and TI wireless chipsets. These systems were designed for low-power wireless communication, sensor monitoring, and real-time device control. Core Engineering Areas • BLE firmware development • IoT wireless sensor nodes • real-time data streaming over BLE • custom PCB design for wireless devices • ultra-low-power embedded systems • OTA firmware updates • multi-node wireless communication Main Systems Included 1) STM32WB55 BLE Sensor System 2) Nordic nRF52840 NFC + BLE Device 3) TI CC2652 Wireless IoT Node

Industrial IoT BLE Systems

This portfolio showcases multiple Bluetooth Low Energy (BLE) IoT systems developed for industrial and embedded applications. The projects include custom PCB hardware design, embedded firmware development, wireless communication protocols, and IoT data streaming systems built using STM32, Nordic nRF, and TI wireless chipsets. These systems were designed for low-power wireless communication, sensor monitoring, and real-time device control. Core Engineering Areas • BLE firmware development • IoT wireless sensor nodes • real-time data streaming over BLE • custom PCB design for wireless devices • ultra-low-power embedded systems • OTA firmware updates • multi-node wireless communication Main Systems Included 1) STM32WB55 BLE Sensor System 2) Nordic nRF52840 NFC + BLE Device 3) TI CC2652 Wireless IoT Node

Industrial IoT BLE Systems

13841333
This project involved developing FlashForce, a desktop application used to flash firmware to embedded devices over a CAN bus network. The system communicates with devices through USB-to-CAN adapters (PCAN and IXXAT) and provides a graphical interface for firmware updates, device monitoring, and configuration management. The application listens for CAN frames broadcast by devices, extracts device information, and allows users to upload new firmware images directly to the target device. Core Features • Python-based desktop GUI application • Firmware flashing over CAN bus • Support for PCAN and IXXAT adapters • Real-time device status monitoring • CAN frame parsing and payload decoding • Device configuration via CAN broadcast frames • Firmware version and hardware version display • Logging and error handling system

CAN Bus Firmware Flashing Tool

This project involved developing FlashForce, a desktop application used to flash firmware to embedded devices over a CAN bus network. The system communicates with devices through USB-to-CAN adapters (PCAN and IXXAT) and provides a graphical interface for firmware updates, device monitoring, and configuration management. The application listens for CAN frames broadcast by devices, extracts device information, and allows users to upload new firmware images directly to the target device. Core Features • Python-based desktop GUI application • Firmware flashing over CAN bus • Support for PCAN and IXXAT adapters • Real-time device status monitoring • CAN frame parsing and payload decoding • Device configuration via CAN broadcast frames • Firmware version and hardware version display • Logging and error handling system

CAN Bus Firmware Flashing Tool

This project involved developing FlashForce, a desktop application used to flash firmware to embedded devices over a CAN bus network. The system communicates with devices through USB-to-CAN adapters (PCAN and IXXAT) and provides a graphical interface for firmware updates, device monitoring, and configuration management. The application listens for CAN frames broadcast by devices, extracts device information, and allows users to upload new firmware images directly to the target device. Core Features • Python-based desktop GUI application • Firmware flashing over CAN bus • Support for PCAN and IXXAT adapters • Real-time device status monitoring • CAN frame parsing and payload decoding • Device configuration via CAN broadcast frames • Firmware version and hardware version display • Logging and error handling system

CAN Bus Firmware Flashing Tool

This project involved developing FlashForce, a desktop application used to flash firmware to embedded devices over a CAN bus network. The system communicates with devices through USB-to-CAN adapters (PCAN and IXXAT) and provides a graphical interface for firmware updates, device monitoring, and configuration management. The application listens for CAN frames broadcast by devices, extracts device information, and allows users to upload new firmware images directly to the target device. Core Features • Python-based desktop GUI application • Firmware flashing over CAN bus • Support for PCAN and IXXAT adapters • Real-time device status monitoring • CAN frame parsing and payload decoding • Device configuration via CAN broadcast frames • Firmware version and hardware version display • Logging and error handling system

CAN Bus Firmware Flashing Tool

This project involved developing FlashForce, a desktop application used to flash firmware to embedded devices over a CAN bus network. The system communicates with devices through USB-to-CAN adapters (PCAN and IXXAT) and provides a graphical interface for firmware updates, device monitoring, and configuration management. The application listens for CAN frames broadcast by devices, extracts device information, and allows users to upload new firmware images directly to the target device. Core Features • Python-based desktop GUI application • Firmware flashing over CAN bus • Support for PCAN and IXXAT adapters • Real-time device status monitoring • CAN frame parsing and payload decoding • Device configuration via CAN broadcast frames • Firmware version and hardware version display • Logging and error handling system

CAN Bus Firmware Flashing Tool

This project involved developing FlashForce, a desktop application used to flash firmware to embedded devices over a CAN bus network. The system communicates with devices through USB-to-CAN adapters (PCAN and IXXAT) and provides a graphical interface for firmware updates, device monitoring, and configuration management. The application listens for CAN frames broadcast by devices, extracts device information, and allows users to upload new firmware images directly to the target device. Core Features • Python-based desktop GUI application • Firmware flashing over CAN bus • Support for PCAN and IXXAT adapters • Real-time device status monitoring • CAN frame parsing and payload decoding • Device configuration via CAN broadcast frames • Firmware version and hardware version display • Logging and error handling system

CAN Bus Firmware Flashing Tool

This project involved developing FlashForce, a desktop application used to flash firmware to embedded devices over a CAN bus network. The system communicates with devices through USB-to-CAN adapters (PCAN and IXXAT) and provides a graphical interface for firmware updates, device monitoring, and configuration management. The application listens for CAN frames broadcast by devices, extracts device information, and allows users to upload new firmware images directly to the target device. Core Features • Python-based desktop GUI application • Firmware flashing over CAN bus • Support for PCAN and IXXAT adapters • Real-time device status monitoring • CAN frame parsing and payload decoding • Device configuration via CAN broadcast frames • Firmware version and hardware version display • Logging and error handling system

CAN Bus Firmware Flashing Tool

This project involved developing FlashForce, a desktop application used to flash firmware to embedded devices over a CAN bus network. The system communicates with devices through USB-to-CAN adapters (PCAN and IXXAT) and provides a graphical interface for firmware updates, device monitoring, and configuration management. The application listens for CAN frames broadcast by devices, extracts device information, and allows users to upload new firmware images directly to the target device. Core Features • Python-based desktop GUI application • Firmware flashing over CAN bus • Support for PCAN and IXXAT adapters • Real-time device status monitoring • CAN frame parsing and payload decoding • Device configuration via CAN broadcast frames • Firmware version and hardware version display • Logging and error handling system

CAN Bus Firmware Flashing Tool

This project involved developing FlashForce, a desktop application used to flash firmware to embedded devices over a CAN bus network. The system communicates with devices through USB-to-CAN adapters (PCAN and IXXAT) and provides a graphical interface for firmware updates, device monitoring, and configuration management. The application listens for CAN frames broadcast by devices, extracts device information, and allows users to upload new firmware images directly to the target device. Core Features • Python-based desktop GUI application • Firmware flashing over CAN bus • Support for PCAN and IXXAT adapters • Real-time device status monitoring • CAN frame parsing and payload decoding • Device configuration via CAN broadcast frames • Firmware version and hardware version display • Logging and error handling system

CAN Bus Firmware Flashing Tool

This project involved developing FlashForce, a desktop application used to flash firmware to embedded devices over a CAN bus network. The system communicates with devices through USB-to-CAN adapters (PCAN and IXXAT) and provides a graphical interface for firmware updates, device monitoring, and configuration management. The application listens for CAN frames broadcast by devices, extracts device information, and allows users to upload new firmware images directly to the target device. Core Features • Python-based desktop GUI application • Firmware flashing over CAN bus • Support for PCAN and IXXAT adapters • Real-time device status monitoring • CAN frame parsing and payload decoding • Device configuration via CAN broadcast frames • Firmware version and hardware version display • Logging and error handling system

CAN Bus Firmware Flashing Tool

13841292
This project involved the design and development of a custom SWD programmer/debug tool specifically for the Microchip SAME53 Cortex-M4 microcontroller embedded in the LAN9255 system. The device was designed to support firmware flashing, debugging, and automated production programming through a cross-platform API compatible with Windows and Linux systems. The programmer was built to be fully compatible with the Atmel-ICE 10-pin SWD interface, enabling seamless integration with existing development workflows. Core Features • Custom SWD programmer hardware design • Firmware for flashing SAME53 microcontrollers • USB interface with CDC communication • Linux API and CLI tool for automated flashing • Compatibility with Atmel-ICE 10-pin SWD connector • Cross-platform support (Windows & Linux) • Production-ready programming workflow

Custom SWD Programmer Development

This project involved the design and development of a custom SWD programmer/debug tool specifically for the Microchip SAME53 Cortex-M4 microcontroller embedded in the LAN9255 system. The device was designed to support firmware flashing, debugging, and automated production programming through a cross-platform API compatible with Windows and Linux systems. The programmer was built to be fully compatible with the Atmel-ICE 10-pin SWD interface, enabling seamless integration with existing development workflows. Core Features • Custom SWD programmer hardware design • Firmware for flashing SAME53 microcontrollers • USB interface with CDC communication • Linux API and CLI tool for automated flashing • Compatibility with Atmel-ICE 10-pin SWD connector • Cross-platform support (Windows & Linux) • Production-ready programming workflow

Custom SWD Programmer Development

This project involved the design and development of a custom SWD programmer/debug tool specifically for the Microchip SAME53 Cortex-M4 microcontroller embedded in the LAN9255 system. The device was designed to support firmware flashing, debugging, and automated production programming through a cross-platform API compatible with Windows and Linux systems. The programmer was built to be fully compatible with the Atmel-ICE 10-pin SWD interface, enabling seamless integration with existing development workflows. Core Features • Custom SWD programmer hardware design • Firmware for flashing SAME53 microcontrollers • USB interface with CDC communication • Linux API and CLI tool for automated flashing • Compatibility with Atmel-ICE 10-pin SWD connector • Cross-platform support (Windows & Linux) • Production-ready programming workflow

Custom SWD Programmer Development

This project involved the design and development of a custom SWD programmer/debug tool specifically for the Microchip SAME53 Cortex-M4 microcontroller embedded in the LAN9255 system. The device was designed to support firmware flashing, debugging, and automated production programming through a cross-platform API compatible with Windows and Linux systems. The programmer was built to be fully compatible with the Atmel-ICE 10-pin SWD interface, enabling seamless integration with existing development workflows. Core Features • Custom SWD programmer hardware design • Firmware for flashing SAME53 microcontrollers • USB interface with CDC communication • Linux API and CLI tool for automated flashing • Compatibility with Atmel-ICE 10-pin SWD connector • Cross-platform support (Windows & Linux) • Production-ready programming workflow

Custom SWD Programmer Development

This project involved the design and development of a custom SWD programmer/debug tool specifically for the Microchip SAME53 Cortex-M4 microcontroller embedded in the LAN9255 system. The device was designed to support firmware flashing, debugging, and automated production programming through a cross-platform API compatible with Windows and Linux systems. The programmer was built to be fully compatible with the Atmel-ICE 10-pin SWD interface, enabling seamless integration with existing development workflows. Core Features • Custom SWD programmer hardware design • Firmware for flashing SAME53 microcontrollers • USB interface with CDC communication • Linux API and CLI tool for automated flashing • Compatibility with Atmel-ICE 10-pin SWD connector • Cross-platform support (Windows & Linux) • Production-ready programming workflow

Custom SWD Programmer Development

This project involved the design and development of a custom SWD programmer/debug tool specifically for the Microchip SAME53 Cortex-M4 microcontroller embedded in the LAN9255 system. The device was designed to support firmware flashing, debugging, and automated production programming through a cross-platform API compatible with Windows and Linux systems. The programmer was built to be fully compatible with the Atmel-ICE 10-pin SWD interface, enabling seamless integration with existing development workflows. Core Features • Custom SWD programmer hardware design • Firmware for flashing SAME53 microcontrollers • USB interface with CDC communication • Linux API and CLI tool for automated flashing • Compatibility with Atmel-ICE 10-pin SWD connector • Cross-platform support (Windows & Linux) • Production-ready programming workflow

Custom SWD Programmer Development

This project involved the design and development of a custom SWD programmer/debug tool specifically for the Microchip SAME53 Cortex-M4 microcontroller embedded in the LAN9255 system. The device was designed to support firmware flashing, debugging, and automated production programming through a cross-platform API compatible with Windows and Linux systems. The programmer was built to be fully compatible with the Atmel-ICE 10-pin SWD interface, enabling seamless integration with existing development workflows. Core Features • Custom SWD programmer hardware design • Firmware for flashing SAME53 microcontrollers • USB interface with CDC communication • Linux API and CLI tool for automated flashing • Compatibility with Atmel-ICE 10-pin SWD connector • Cross-platform support (Windows & Linux) • Production-ready programming workflow

Custom SWD Programmer Development

This project involved the design and development of a custom SWD programmer/debug tool specifically for the Microchip SAME53 Cortex-M4 microcontroller embedded in the LAN9255 system. The device was designed to support firmware flashing, debugging, and automated production programming through a cross-platform API compatible with Windows and Linux systems. The programmer was built to be fully compatible with the Atmel-ICE 10-pin SWD interface, enabling seamless integration with existing development workflows. Core Features • Custom SWD programmer hardware design • Firmware for flashing SAME53 microcontrollers • USB interface with CDC communication • Linux API and CLI tool for automated flashing • Compatibility with Atmel-ICE 10-pin SWD connector • Cross-platform support (Windows & Linux) • Production-ready programming workflow

Custom SWD Programmer Development

This project involved the design and development of a custom SWD programmer/debug tool specifically for the Microchip SAME53 Cortex-M4 microcontroller embedded in the LAN9255 system. The device was designed to support firmware flashing, debugging, and automated production programming through a cross-platform API compatible with Windows and Linux systems. The programmer was built to be fully compatible with the Atmel-ICE 10-pin SWD interface, enabling seamless integration with existing development workflows. Core Features • Custom SWD programmer hardware design • Firmware for flashing SAME53 microcontrollers • USB interface with CDC communication • Linux API and CLI tool for automated flashing • Compatibility with Atmel-ICE 10-pin SWD connector • Cross-platform support (Windows & Linux) • Production-ready programming workflow

Custom SWD Programmer Development

13982716
We worked on a professional show lighting controller platform used in amusement park installations and large-scale entertainment venues. Our team was responsible for embedded firmware development, system maintenance, debugging, and validation on a dedicated hardware testbench. The controller is built around an STM32F7 ARM-based processor and runs on an RTOS to manage multiple real-time tasks. Our firmware work focused on reliable task scheduling, synchronized lighting pattern playback, hardware-level control, and stable communication between different parts of the system. Since this product is used in live entertainment environments, timing accuracy and system reliability were very important. A major part of the work involved Ethernet-based communication for professional lighting control. We supported industry-standard protocols such as Artnet and sACN, allowing lighting operators to control and synchronize outputs through network-connected systems. We also worked on firmware update

STM32-Based Show Lighting Controller

We worked on a professional show lighting controller platform used in amusement park installations and large-scale entertainment venues. Our team was responsible for embedded firmware development, system maintenance, debugging, and validation on a dedicated hardware testbench. The controller is built around an STM32F7 ARM-based processor and runs on an RTOS to manage multiple real-time tasks. Our firmware work focused on reliable task scheduling, synchronized lighting pattern playback, hardware-level control, and stable communication between different parts of the system. Since this product is used in live entertainment environments, timing accuracy and system reliability were very important. A major part of the work involved Ethernet-based communication for professional lighting control. We supported industry-standard protocols such as Artnet and sACN, allowing lighting operators to control and synchronize outputs through network-connected systems. We also worked on firmware update

STM32-Based Show Lighting Controller

We worked on a professional show lighting controller platform used in amusement park installations and large-scale entertainment venues. Our team was responsible for embedded firmware development, system maintenance, debugging, and validation on a dedicated hardware testbench. The controller is built around an STM32F7 ARM-based processor and runs on an RTOS to manage multiple real-time tasks. Our firmware work focused on reliable task scheduling, synchronized lighting pattern playback, hardware-level control, and stable communication between different parts of the system. Since this product is used in live entertainment environments, timing accuracy and system reliability were very important. A major part of the work involved Ethernet-based communication for professional lighting control. We supported industry-standard protocols such as Artnet and sACN, allowing lighting operators to control and synchronize outputs through network-connected systems. We also worked on firmware update

STM32-Based Show Lighting Controller

We worked on a professional show lighting controller platform used in amusement park installations and large-scale entertainment venues. Our team was responsible for embedded firmware development, system maintenance, debugging, and validation on a dedicated hardware testbench. The controller is built around an STM32F7 ARM-based processor and runs on an RTOS to manage multiple real-time tasks. Our firmware work focused on reliable task scheduling, synchronized lighting pattern playback, hardware-level control, and stable communication between different parts of the system. Since this product is used in live entertainment environments, timing accuracy and system reliability were very important. A major part of the work involved Ethernet-based communication for professional lighting control. We supported industry-standard protocols such as Artnet and sACN, allowing lighting operators to control and synchronize outputs through network-connected systems. We also worked on firmware update

STM32-Based Show Lighting Controller

We worked on a professional show lighting controller platform used in amusement park installations and large-scale entertainment venues. Our team was responsible for embedded firmware development, system maintenance, debugging, and validation on a dedicated hardware testbench. The controller is built around an STM32F7 ARM-based processor and runs on an RTOS to manage multiple real-time tasks. Our firmware work focused on reliable task scheduling, synchronized lighting pattern playback, hardware-level control, and stable communication between different parts of the system. Since this product is used in live entertainment environments, timing accuracy and system reliability were very important. A major part of the work involved Ethernet-based communication for professional lighting control. We supported industry-standard protocols such as Artnet and sACN, allowing lighting operators to control and synchronize outputs through network-connected systems. We also worked on firmware update

STM32-Based Show Lighting Controller

We worked on a professional show lighting controller platform used in amusement park installations and large-scale entertainment venues. Our team was responsible for embedded firmware development, system maintenance, debugging, and validation on a dedicated hardware testbench. The controller is built around an STM32F7 ARM-based processor and runs on an RTOS to manage multiple real-time tasks. Our firmware work focused on reliable task scheduling, synchronized lighting pattern playback, hardware-level control, and stable communication between different parts of the system. Since this product is used in live entertainment environments, timing accuracy and system reliability were very important. A major part of the work involved Ethernet-based communication for professional lighting control. We supported industry-standard protocols such as Artnet and sACN, allowing lighting operators to control and synchronize outputs through network-connected systems. We also worked on firmware update

STM32-Based Show Lighting Controller

We worked on a professional show lighting controller platform used in amusement park installations and large-scale entertainment venues. Our team was responsible for embedded firmware development, system maintenance, debugging, and validation on a dedicated hardware testbench. The controller is built around an STM32F7 ARM-based processor and runs on an RTOS to manage multiple real-time tasks. Our firmware work focused on reliable task scheduling, synchronized lighting pattern playback, hardware-level control, and stable communication between different parts of the system. Since this product is used in live entertainment environments, timing accuracy and system reliability were very important. A major part of the work involved Ethernet-based communication for professional lighting control. We supported industry-standard protocols such as Artnet and sACN, allowing lighting operators to control and synchronize outputs through network-connected systems. We also worked on firmware update

STM32-Based Show Lighting Controller

We worked on a professional show lighting controller platform used in amusement park installations and large-scale entertainment venues. Our team was responsible for embedded firmware development, system maintenance, debugging, and validation on a dedicated hardware testbench. The controller is built around an STM32F7 ARM-based processor and runs on an RTOS to manage multiple real-time tasks. Our firmware work focused on reliable task scheduling, synchronized lighting pattern playback, hardware-level control, and stable communication between different parts of the system. Since this product is used in live entertainment environments, timing accuracy and system reliability were very important. A major part of the work involved Ethernet-based communication for professional lighting control. We supported industry-standard protocols such as Artnet and sACN, allowing lighting operators to control and synchronize outputs through network-connected systems. We also worked on firmware update

STM32-Based Show Lighting Controller

13978313
Developed a real-time AI-powered computer vision system integrated with custom embedded hardware for Nintendo Switch gameplay analysis and control. The project combined YOLOv8-based object detection, ONNX optimization, target tracking, predictive aiming, multiplayer synchronization, UDP low-latency communication, and microcontroller-based hardware integration. The system performs real-time detection, tracking, prediction, and control actions while maintaining low latency and stable performance. The solution required expertise in AI, computer vision, embedded systems, firmware development, networking, and real-time system engineering. We designed and implemented the complete detect → predict → aim → actuate pipeline, including model training, optimization, hardware integration, testing, and validation.

AI Vision & Embedded Control System

Developed a real-time AI-powered computer vision system integrated with custom embedded hardware for Nintendo Switch gameplay analysis and control. The project combined YOLOv8-based object detection, ONNX optimization, target tracking, predictive aiming, multiplayer synchronization, UDP low-latency communication, and microcontroller-based hardware integration. The system performs real-time detection, tracking, prediction, and control actions while maintaining low latency and stable performance. The solution required expertise in AI, computer vision, embedded systems, firmware development, networking, and real-time system engineering. We designed and implemented the complete detect → predict → aim → actuate pipeline, including model training, optimization, hardware integration, testing, and validation.

AI Vision & Embedded Control System

Developed a real-time AI-powered computer vision system integrated with custom embedded hardware for Nintendo Switch gameplay analysis and control. The project combined YOLOv8-based object detection, ONNX optimization, target tracking, predictive aiming, multiplayer synchronization, UDP low-latency communication, and microcontroller-based hardware integration. The system performs real-time detection, tracking, prediction, and control actions while maintaining low latency and stable performance. The solution required expertise in AI, computer vision, embedded systems, firmware development, networking, and real-time system engineering. We designed and implemented the complete detect → predict → aim → actuate pipeline, including model training, optimization, hardware integration, testing, and validation.

AI Vision & Embedded Control System

Developed a real-time AI-powered computer vision system integrated with custom embedded hardware for Nintendo Switch gameplay analysis and control. The project combined YOLOv8-based object detection, ONNX optimization, target tracking, predictive aiming, multiplayer synchronization, UDP low-latency communication, and microcontroller-based hardware integration. The system performs real-time detection, tracking, prediction, and control actions while maintaining low latency and stable performance. The solution required expertise in AI, computer vision, embedded systems, firmware development, networking, and real-time system engineering. We designed and implemented the complete detect → predict → aim → actuate pipeline, including model training, optimization, hardware integration, testing, and validation.

AI Vision & Embedded Control System

13842265
TalkShift is an AI-powered iOS communication assistant designed to help users improve, translate, and generate messages instantly. The app integrates AI text enhancement and real-time translation directly into the messaging workflow, allowing users to communicate more effectively across different languages and tones. Users can rewrite messages professionally, generate smart replies from conversation history, or instantly translate messages before sending them to platforms like WhatsApp, Instagram, or iMessage. Core Features • Real-time text translation between languages • AI-powered grammar and tone correction • GPT-based smart reply generation • Context-aware responses from chat history • Multiple tone styles (professional, friendly, casual, etc.) • Custom prompt categories for message rewriting • Built-in analytics and crash reporting system

AI Messaging Assistant iOS App

TalkShift is an AI-powered iOS communication assistant designed to help users improve, translate, and generate messages instantly. The app integrates AI text enhancement and real-time translation directly into the messaging workflow, allowing users to communicate more effectively across different languages and tones. Users can rewrite messages professionally, generate smart replies from conversation history, or instantly translate messages before sending them to platforms like WhatsApp, Instagram, or iMessage. Core Features • Real-time text translation between languages • AI-powered grammar and tone correction • GPT-based smart reply generation • Context-aware responses from chat history • Multiple tone styles (professional, friendly, casual, etc.) • Custom prompt categories for message rewriting • Built-in analytics and crash reporting system

AI Messaging Assistant iOS App

TalkShift is an AI-powered iOS communication assistant designed to help users improve, translate, and generate messages instantly. The app integrates AI text enhancement and real-time translation directly into the messaging workflow, allowing users to communicate more effectively across different languages and tones. Users can rewrite messages professionally, generate smart replies from conversation history, or instantly translate messages before sending them to platforms like WhatsApp, Instagram, or iMessage. Core Features • Real-time text translation between languages • AI-powered grammar and tone correction • GPT-based smart reply generation • Context-aware responses from chat history • Multiple tone styles (professional, friendly, casual, etc.) • Custom prompt categories for message rewriting • Built-in analytics and crash reporting system

AI Messaging Assistant iOS App

TalkShift is an AI-powered iOS communication assistant designed to help users improve, translate, and generate messages instantly. The app integrates AI text enhancement and real-time translation directly into the messaging workflow, allowing users to communicate more effectively across different languages and tones. Users can rewrite messages professionally, generate smart replies from conversation history, or instantly translate messages before sending them to platforms like WhatsApp, Instagram, or iMessage. Core Features • Real-time text translation between languages • AI-powered grammar and tone correction • GPT-based smart reply generation • Context-aware responses from chat history • Multiple tone styles (professional, friendly, casual, etc.) • Custom prompt categories for message rewriting • Built-in analytics and crash reporting system

AI Messaging Assistant iOS App

TalkShift is an AI-powered iOS communication assistant designed to help users improve, translate, and generate messages instantly. The app integrates AI text enhancement and real-time translation directly into the messaging workflow, allowing users to communicate more effectively across different languages and tones. Users can rewrite messages professionally, generate smart replies from conversation history, or instantly translate messages before sending them to platforms like WhatsApp, Instagram, or iMessage. Core Features • Real-time text translation between languages • AI-powered grammar and tone correction • GPT-based smart reply generation • Context-aware responses from chat history • Multiple tone styles (professional, friendly, casual, etc.) • Custom prompt categories for message rewriting • Built-in analytics and crash reporting system

AI Messaging Assistant iOS App

TalkShift is an AI-powered iOS communication assistant designed to help users improve, translate, and generate messages instantly. The app integrates AI text enhancement and real-time translation directly into the messaging workflow, allowing users to communicate more effectively across different languages and tones. Users can rewrite messages professionally, generate smart replies from conversation history, or instantly translate messages before sending them to platforms like WhatsApp, Instagram, or iMessage. Core Features • Real-time text translation between languages • AI-powered grammar and tone correction • GPT-based smart reply generation • Context-aware responses from chat history • Multiple tone styles (professional, friendly, casual, etc.) • Custom prompt categories for message rewriting • Built-in analytics and crash reporting system

AI Messaging Assistant iOS App

TalkShift is an AI-powered iOS communication assistant designed to help users improve, translate, and generate messages instantly. The app integrates AI text enhancement and real-time translation directly into the messaging workflow, allowing users to communicate more effectively across different languages and tones. Users can rewrite messages professionally, generate smart replies from conversation history, or instantly translate messages before sending them to platforms like WhatsApp, Instagram, or iMessage. Core Features • Real-time text translation between languages • AI-powered grammar and tone correction • GPT-based smart reply generation • Context-aware responses from chat history • Multiple tone styles (professional, friendly, casual, etc.) • Custom prompt categories for message rewriting • Built-in analytics and crash reporting system

AI Messaging Assistant iOS App

TalkShift is an AI-powered iOS communication assistant designed to help users improve, translate, and generate messages instantly. The app integrates AI text enhancement and real-time translation directly into the messaging workflow, allowing users to communicate more effectively across different languages and tones. Users can rewrite messages professionally, generate smart replies from conversation history, or instantly translate messages before sending them to platforms like WhatsApp, Instagram, or iMessage. Core Features • Real-time text translation between languages • AI-powered grammar and tone correction • GPT-based smart reply generation • Context-aware responses from chat history • Multiple tone styles (professional, friendly, casual, etc.) • Custom prompt categories for message rewriting • Built-in analytics and crash reporting system

AI Messaging Assistant iOS App

13841385
This portfolio showcases multiple Bluetooth Low Energy (BLE) IoT systems developed for industrial and embedded applications. The projects include custom PCB hardware design, embedded firmware development, wireless communication protocols, and IoT data streaming systems built using STM32, Nordic nRF, and TI wireless chipsets. These systems were designed for low-power wireless communication, sensor monitoring, and real-time device control. Core Engineering Areas • BLE firmware development • IoT wireless sensor nodes • real-time data streaming over BLE • custom PCB design for wireless devices • ultra-low-power embedded systems • OTA firmware updates • multi-node wireless communication Main Systems Included 1) STM32WB55 BLE Sensor System 2) Nordic nRF52840 NFC + BLE Device 3) TI CC2652 Wireless IoT Node

Industrial IoT BLE Systems

This portfolio showcases multiple Bluetooth Low Energy (BLE) IoT systems developed for industrial and embedded applications. The projects include custom PCB hardware design, embedded firmware development, wireless communication protocols, and IoT data streaming systems built using STM32, Nordic nRF, and TI wireless chipsets. These systems were designed for low-power wireless communication, sensor monitoring, and real-time device control. Core Engineering Areas • BLE firmware development • IoT wireless sensor nodes • real-time data streaming over BLE • custom PCB design for wireless devices • ultra-low-power embedded systems • OTA firmware updates • multi-node wireless communication Main Systems Included 1) STM32WB55 BLE Sensor System 2) Nordic nRF52840 NFC + BLE Device 3) TI CC2652 Wireless IoT Node

Industrial IoT BLE Systems

This portfolio showcases multiple Bluetooth Low Energy (BLE) IoT systems developed for industrial and embedded applications. The projects include custom PCB hardware design, embedded firmware development, wireless communication protocols, and IoT data streaming systems built using STM32, Nordic nRF, and TI wireless chipsets. These systems were designed for low-power wireless communication, sensor monitoring, and real-time device control. Core Engineering Areas • BLE firmware development • IoT wireless sensor nodes • real-time data streaming over BLE • custom PCB design for wireless devices • ultra-low-power embedded systems • OTA firmware updates • multi-node wireless communication Main Systems Included 1) STM32WB55 BLE Sensor System 2) Nordic nRF52840 NFC + BLE Device 3) TI CC2652 Wireless IoT Node

Industrial IoT BLE Systems

This portfolio showcases multiple Bluetooth Low Energy (BLE) IoT systems developed for industrial and embedded applications. The projects include custom PCB hardware design, embedded firmware development, wireless communication protocols, and IoT data streaming systems built using STM32, Nordic nRF, and TI wireless chipsets. These systems were designed for low-power wireless communication, sensor monitoring, and real-time device control. Core Engineering Areas • BLE firmware development • IoT wireless sensor nodes • real-time data streaming over BLE • custom PCB design for wireless devices • ultra-low-power embedded systems • OTA firmware updates • multi-node wireless communication Main Systems Included 1) STM32WB55 BLE Sensor System 2) Nordic nRF52840 NFC + BLE Device 3) TI CC2652 Wireless IoT Node

Industrial IoT BLE Systems

This portfolio showcases multiple Bluetooth Low Energy (BLE) IoT systems developed for industrial and embedded applications. The projects include custom PCB hardware design, embedded firmware development, wireless communication protocols, and IoT data streaming systems built using STM32, Nordic nRF, and TI wireless chipsets. These systems were designed for low-power wireless communication, sensor monitoring, and real-time device control. Core Engineering Areas • BLE firmware development • IoT wireless sensor nodes • real-time data streaming over BLE • custom PCB design for wireless devices • ultra-low-power embedded systems • OTA firmware updates • multi-node wireless communication Main Systems Included 1) STM32WB55 BLE Sensor System 2) Nordic nRF52840 NFC + BLE Device 3) TI CC2652 Wireless IoT Node

Industrial IoT BLE Systems

This portfolio showcases multiple Bluetooth Low Energy (BLE) IoT systems developed for industrial and embedded applications. The projects include custom PCB hardware design, embedded firmware development, wireless communication protocols, and IoT data streaming systems built using STM32, Nordic nRF, and TI wireless chipsets. These systems were designed for low-power wireless communication, sensor monitoring, and real-time device control. Core Engineering Areas • BLE firmware development • IoT wireless sensor nodes • real-time data streaming over BLE • custom PCB design for wireless devices • ultra-low-power embedded systems • OTA firmware updates • multi-node wireless communication Main Systems Included 1) STM32WB55 BLE Sensor System 2) Nordic nRF52840 NFC + BLE Device 3) TI CC2652 Wireless IoT Node

Industrial IoT BLE Systems

This portfolio showcases multiple Bluetooth Low Energy (BLE) IoT systems developed for industrial and embedded applications. The projects include custom PCB hardware design, embedded firmware development, wireless communication protocols, and IoT data streaming systems built using STM32, Nordic nRF, and TI wireless chipsets. These systems were designed for low-power wireless communication, sensor monitoring, and real-time device control. Core Engineering Areas • BLE firmware development • IoT wireless sensor nodes • real-time data streaming over BLE • custom PCB design for wireless devices • ultra-low-power embedded systems • OTA firmware updates • multi-node wireless communication Main Systems Included 1) STM32WB55 BLE Sensor System 2) Nordic nRF52840 NFC + BLE Device 3) TI CC2652 Wireless IoT Node

Industrial IoT BLE Systems

This portfolio showcases multiple Bluetooth Low Energy (BLE) IoT systems developed for industrial and embedded applications. The projects include custom PCB hardware design, embedded firmware development, wireless communication protocols, and IoT data streaming systems built using STM32, Nordic nRF, and TI wireless chipsets. These systems were designed for low-power wireless communication, sensor monitoring, and real-time device control. Core Engineering Areas • BLE firmware development • IoT wireless sensor nodes • real-time data streaming over BLE • custom PCB design for wireless devices • ultra-low-power embedded systems • OTA firmware updates • multi-node wireless communication Main Systems Included 1) STM32WB55 BLE Sensor System 2) Nordic nRF52840 NFC + BLE Device 3) TI CC2652 Wireless IoT Node

Industrial IoT BLE Systems

This portfolio showcases multiple Bluetooth Low Energy (BLE) IoT systems developed for industrial and embedded applications. The projects include custom PCB hardware design, embedded firmware development, wireless communication protocols, and IoT data streaming systems built using STM32, Nordic nRF, and TI wireless chipsets. These systems were designed for low-power wireless communication, sensor monitoring, and real-time device control. Core Engineering Areas • BLE firmware development • IoT wireless sensor nodes • real-time data streaming over BLE • custom PCB design for wireless devices • ultra-low-power embedded systems • OTA firmware updates • multi-node wireless communication Main Systems Included 1) STM32WB55 BLE Sensor System 2) Nordic nRF52840 NFC + BLE Device 3) TI CC2652 Wireless IoT Node

Industrial IoT BLE Systems

This portfolio showcases multiple Bluetooth Low Energy (BLE) IoT systems developed for industrial and embedded applications. The projects include custom PCB hardware design, embedded firmware development, wireless communication protocols, and IoT data streaming systems built using STM32, Nordic nRF, and TI wireless chipsets. These systems were designed for low-power wireless communication, sensor monitoring, and real-time device control. Core Engineering Areas • BLE firmware development • IoT wireless sensor nodes • real-time data streaming over BLE • custom PCB design for wireless devices • ultra-low-power embedded systems • OTA firmware updates • multi-node wireless communication Main Systems Included 1) STM32WB55 BLE Sensor System 2) Nordic nRF52840 NFC + BLE Device 3) TI CC2652 Wireless IoT Node

Industrial IoT BLE Systems

This portfolio showcases multiple Bluetooth Low Energy (BLE) IoT systems developed for industrial and embedded applications. The projects include custom PCB hardware design, embedded firmware development, wireless communication protocols, and IoT data streaming systems built using STM32, Nordic nRF, and TI wireless chipsets. These systems were designed for low-power wireless communication, sensor monitoring, and real-time device control. Core Engineering Areas • BLE firmware development • IoT wireless sensor nodes • real-time data streaming over BLE • custom PCB design for wireless devices • ultra-low-power embedded systems • OTA firmware updates • multi-node wireless communication Main Systems Included 1) STM32WB55 BLE Sensor System 2) Nordic nRF52840 NFC + BLE Device 3) TI CC2652 Wireless IoT Node

Industrial IoT BLE Systems

This portfolio showcases multiple Bluetooth Low Energy (BLE) IoT systems developed for industrial and embedded applications. The projects include custom PCB hardware design, embedded firmware development, wireless communication protocols, and IoT data streaming systems built using STM32, Nordic nRF, and TI wireless chipsets. These systems were designed for low-power wireless communication, sensor monitoring, and real-time device control. Core Engineering Areas • BLE firmware development • IoT wireless sensor nodes • real-time data streaming over BLE • custom PCB design for wireless devices • ultra-low-power embedded systems • OTA firmware updates • multi-node wireless communication Main Systems Included 1) STM32WB55 BLE Sensor System 2) Nordic nRF52840 NFC + BLE Device 3) TI CC2652 Wireless IoT Node

Industrial IoT BLE Systems

13841333
This project involved developing FlashForce, a desktop application used to flash firmware to embedded devices over a CAN bus network. The system communicates with devices through USB-to-CAN adapters (PCAN and IXXAT) and provides a graphical interface for firmware updates, device monitoring, and configuration management. The application listens for CAN frames broadcast by devices, extracts device information, and allows users to upload new firmware images directly to the target device. Core Features • Python-based desktop GUI application • Firmware flashing over CAN bus • Support for PCAN and IXXAT adapters • Real-time device status monitoring • CAN frame parsing and payload decoding • Device configuration via CAN broadcast frames • Firmware version and hardware version display • Logging and error handling system

CAN Bus Firmware Flashing Tool

This project involved developing FlashForce, a desktop application used to flash firmware to embedded devices over a CAN bus network. The system communicates with devices through USB-to-CAN adapters (PCAN and IXXAT) and provides a graphical interface for firmware updates, device monitoring, and configuration management. The application listens for CAN frames broadcast by devices, extracts device information, and allows users to upload new firmware images directly to the target device. Core Features • Python-based desktop GUI application • Firmware flashing over CAN bus • Support for PCAN and IXXAT adapters • Real-time device status monitoring • CAN frame parsing and payload decoding • Device configuration via CAN broadcast frames • Firmware version and hardware version display • Logging and error handling system

CAN Bus Firmware Flashing Tool

This project involved developing FlashForce, a desktop application used to flash firmware to embedded devices over a CAN bus network. The system communicates with devices through USB-to-CAN adapters (PCAN and IXXAT) and provides a graphical interface for firmware updates, device monitoring, and configuration management. The application listens for CAN frames broadcast by devices, extracts device information, and allows users to upload new firmware images directly to the target device. Core Features • Python-based desktop GUI application • Firmware flashing over CAN bus • Support for PCAN and IXXAT adapters • Real-time device status monitoring • CAN frame parsing and payload decoding • Device configuration via CAN broadcast frames • Firmware version and hardware version display • Logging and error handling system

CAN Bus Firmware Flashing Tool

This project involved developing FlashForce, a desktop application used to flash firmware to embedded devices over a CAN bus network. The system communicates with devices through USB-to-CAN adapters (PCAN and IXXAT) and provides a graphical interface for firmware updates, device monitoring, and configuration management. The application listens for CAN frames broadcast by devices, extracts device information, and allows users to upload new firmware images directly to the target device. Core Features • Python-based desktop GUI application • Firmware flashing over CAN bus • Support for PCAN and IXXAT adapters • Real-time device status monitoring • CAN frame parsing and payload decoding • Device configuration via CAN broadcast frames • Firmware version and hardware version display • Logging and error handling system

CAN Bus Firmware Flashing Tool

This project involved developing FlashForce, a desktop application used to flash firmware to embedded devices over a CAN bus network. The system communicates with devices through USB-to-CAN adapters (PCAN and IXXAT) and provides a graphical interface for firmware updates, device monitoring, and configuration management. The application listens for CAN frames broadcast by devices, extracts device information, and allows users to upload new firmware images directly to the target device. Core Features • Python-based desktop GUI application • Firmware flashing over CAN bus • Support for PCAN and IXXAT adapters • Real-time device status monitoring • CAN frame parsing and payload decoding • Device configuration via CAN broadcast frames • Firmware version and hardware version display • Logging and error handling system

CAN Bus Firmware Flashing Tool

This project involved developing FlashForce, a desktop application used to flash firmware to embedded devices over a CAN bus network. The system communicates with devices through USB-to-CAN adapters (PCAN and IXXAT) and provides a graphical interface for firmware updates, device monitoring, and configuration management. The application listens for CAN frames broadcast by devices, extracts device information, and allows users to upload new firmware images directly to the target device. Core Features • Python-based desktop GUI application • Firmware flashing over CAN bus • Support for PCAN and IXXAT adapters • Real-time device status monitoring • CAN frame parsing and payload decoding • Device configuration via CAN broadcast frames • Firmware version and hardware version display • Logging and error handling system

CAN Bus Firmware Flashing Tool

This project involved developing FlashForce, a desktop application used to flash firmware to embedded devices over a CAN bus network. The system communicates with devices through USB-to-CAN adapters (PCAN and IXXAT) and provides a graphical interface for firmware updates, device monitoring, and configuration management. The application listens for CAN frames broadcast by devices, extracts device information, and allows users to upload new firmware images directly to the target device. Core Features • Python-based desktop GUI application • Firmware flashing over CAN bus • Support for PCAN and IXXAT adapters • Real-time device status monitoring • CAN frame parsing and payload decoding • Device configuration via CAN broadcast frames • Firmware version and hardware version display • Logging and error handling system

CAN Bus Firmware Flashing Tool

This project involved developing FlashForce, a desktop application used to flash firmware to embedded devices over a CAN bus network. The system communicates with devices through USB-to-CAN adapters (PCAN and IXXAT) and provides a graphical interface for firmware updates, device monitoring, and configuration management. The application listens for CAN frames broadcast by devices, extracts device information, and allows users to upload new firmware images directly to the target device. Core Features • Python-based desktop GUI application • Firmware flashing over CAN bus • Support for PCAN and IXXAT adapters • Real-time device status monitoring • CAN frame parsing and payload decoding • Device configuration via CAN broadcast frames • Firmware version and hardware version display • Logging and error handling system

CAN Bus Firmware Flashing Tool

This project involved developing FlashForce, a desktop application used to flash firmware to embedded devices over a CAN bus network. The system communicates with devices through USB-to-CAN adapters (PCAN and IXXAT) and provides a graphical interface for firmware updates, device monitoring, and configuration management. The application listens for CAN frames broadcast by devices, extracts device information, and allows users to upload new firmware images directly to the target device. Core Features • Python-based desktop GUI application • Firmware flashing over CAN bus • Support for PCAN and IXXAT adapters • Real-time device status monitoring • CAN frame parsing and payload decoding • Device configuration via CAN broadcast frames • Firmware version and hardware version display • Logging and error handling system

CAN Bus Firmware Flashing Tool

This project involved developing FlashForce, a desktop application used to flash firmware to embedded devices over a CAN bus network. The system communicates with devices through USB-to-CAN adapters (PCAN and IXXAT) and provides a graphical interface for firmware updates, device monitoring, and configuration management. The application listens for CAN frames broadcast by devices, extracts device information, and allows users to upload new firmware images directly to the target device. Core Features • Python-based desktop GUI application • Firmware flashing over CAN bus • Support for PCAN and IXXAT adapters • Real-time device status monitoring • CAN frame parsing and payload decoding • Device configuration via CAN broadcast frames • Firmware version and hardware version display • Logging and error handling system

CAN Bus Firmware Flashing Tool

13841292
This project involved the design and development of a custom SWD programmer/debug tool specifically for the Microchip SAME53 Cortex-M4 microcontroller embedded in the LAN9255 system. The device was designed to support firmware flashing, debugging, and automated production programming through a cross-platform API compatible with Windows and Linux systems. The programmer was built to be fully compatible with the Atmel-ICE 10-pin SWD interface, enabling seamless integration with existing development workflows. Core Features • Custom SWD programmer hardware design • Firmware for flashing SAME53 microcontrollers • USB interface with CDC communication • Linux API and CLI tool for automated flashing • Compatibility with Atmel-ICE 10-pin SWD connector • Cross-platform support (Windows & Linux) • Production-ready programming workflow

Custom SWD Programmer Development

This project involved the design and development of a custom SWD programmer/debug tool specifically for the Microchip SAME53 Cortex-M4 microcontroller embedded in the LAN9255 system. The device was designed to support firmware flashing, debugging, and automated production programming through a cross-platform API compatible with Windows and Linux systems. The programmer was built to be fully compatible with the Atmel-ICE 10-pin SWD interface, enabling seamless integration with existing development workflows. Core Features • Custom SWD programmer hardware design • Firmware for flashing SAME53 microcontrollers • USB interface with CDC communication • Linux API and CLI tool for automated flashing • Compatibility with Atmel-ICE 10-pin SWD connector • Cross-platform support (Windows & Linux) • Production-ready programming workflow

Custom SWD Programmer Development

This project involved the design and development of a custom SWD programmer/debug tool specifically for the Microchip SAME53 Cortex-M4 microcontroller embedded in the LAN9255 system. The device was designed to support firmware flashing, debugging, and automated production programming through a cross-platform API compatible with Windows and Linux systems. The programmer was built to be fully compatible with the Atmel-ICE 10-pin SWD interface, enabling seamless integration with existing development workflows. Core Features • Custom SWD programmer hardware design • Firmware for flashing SAME53 microcontrollers • USB interface with CDC communication • Linux API and CLI tool for automated flashing • Compatibility with Atmel-ICE 10-pin SWD connector • Cross-platform support (Windows & Linux) • Production-ready programming workflow

Custom SWD Programmer Development

This project involved the design and development of a custom SWD programmer/debug tool specifically for the Microchip SAME53 Cortex-M4 microcontroller embedded in the LAN9255 system. The device was designed to support firmware flashing, debugging, and automated production programming through a cross-platform API compatible with Windows and Linux systems. The programmer was built to be fully compatible with the Atmel-ICE 10-pin SWD interface, enabling seamless integration with existing development workflows. Core Features • Custom SWD programmer hardware design • Firmware for flashing SAME53 microcontrollers • USB interface with CDC communication • Linux API and CLI tool for automated flashing • Compatibility with Atmel-ICE 10-pin SWD connector • Cross-platform support (Windows & Linux) • Production-ready programming workflow

Custom SWD Programmer Development

This project involved the design and development of a custom SWD programmer/debug tool specifically for the Microchip SAME53 Cortex-M4 microcontroller embedded in the LAN9255 system. The device was designed to support firmware flashing, debugging, and automated production programming through a cross-platform API compatible with Windows and Linux systems. The programmer was built to be fully compatible with the Atmel-ICE 10-pin SWD interface, enabling seamless integration with existing development workflows. Core Features • Custom SWD programmer hardware design • Firmware for flashing SAME53 microcontrollers • USB interface with CDC communication • Linux API and CLI tool for automated flashing • Compatibility with Atmel-ICE 10-pin SWD connector • Cross-platform support (Windows & Linux) • Production-ready programming workflow

Custom SWD Programmer Development

This project involved the design and development of a custom SWD programmer/debug tool specifically for the Microchip SAME53 Cortex-M4 microcontroller embedded in the LAN9255 system. The device was designed to support firmware flashing, debugging, and automated production programming through a cross-platform API compatible with Windows and Linux systems. The programmer was built to be fully compatible with the Atmel-ICE 10-pin SWD interface, enabling seamless integration with existing development workflows. Core Features • Custom SWD programmer hardware design • Firmware for flashing SAME53 microcontrollers • USB interface with CDC communication • Linux API and CLI tool for automated flashing • Compatibility with Atmel-ICE 10-pin SWD connector • Cross-platform support (Windows & Linux) • Production-ready programming workflow

Custom SWD Programmer Development

This project involved the design and development of a custom SWD programmer/debug tool specifically for the Microchip SAME53 Cortex-M4 microcontroller embedded in the LAN9255 system. The device was designed to support firmware flashing, debugging, and automated production programming through a cross-platform API compatible with Windows and Linux systems. The programmer was built to be fully compatible with the Atmel-ICE 10-pin SWD interface, enabling seamless integration with existing development workflows. Core Features • Custom SWD programmer hardware design • Firmware for flashing SAME53 microcontrollers • USB interface with CDC communication • Linux API and CLI tool for automated flashing • Compatibility with Atmel-ICE 10-pin SWD connector • Cross-platform support (Windows & Linux) • Production-ready programming workflow

Custom SWD Programmer Development

This project involved the design and development of a custom SWD programmer/debug tool specifically for the Microchip SAME53 Cortex-M4 microcontroller embedded in the LAN9255 system. The device was designed to support firmware flashing, debugging, and automated production programming through a cross-platform API compatible with Windows and Linux systems. The programmer was built to be fully compatible with the Atmel-ICE 10-pin SWD interface, enabling seamless integration with existing development workflows. Core Features • Custom SWD programmer hardware design • Firmware for flashing SAME53 microcontrollers • USB interface with CDC communication • Linux API and CLI tool for automated flashing • Compatibility with Atmel-ICE 10-pin SWD connector • Cross-platform support (Windows & Linux) • Production-ready programming workflow

Custom SWD Programmer Development

This project involved the design and development of a custom SWD programmer/debug tool specifically for the Microchip SAME53 Cortex-M4 microcontroller embedded in the LAN9255 system. The device was designed to support firmware flashing, debugging, and automated production programming through a cross-platform API compatible with Windows and Linux systems. The programmer was built to be fully compatible with the Atmel-ICE 10-pin SWD interface, enabling seamless integration with existing development workflows. Core Features • Custom SWD programmer hardware design • Firmware for flashing SAME53 microcontrollers • USB interface with CDC communication • Linux API and CLI tool for automated flashing • Compatibility with Atmel-ICE 10-pin SWD connector • Cross-platform support (Windows & Linux) • Production-ready programming workflow

Custom SWD Programmer Development

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Rick M.

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DSP Main Board PCB Development

I've used this company for several PCB layout projects, and the results have been excellent. Their layouts are clean, manufacturable, and well thought out. They communicate throughout the project, respond quickly to questions, and consistently identify design issues before they become costly problems. Their experience with PCB layout is obvious, and they've saved me both development time and money on multiple occasions. They're professional, dependable, and I'll continue using them for future projects. Highly recommended.

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Scalp Stimulation Device Design

I had a great experience working with Sardar.

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5,0

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Complete IoT System Development

Great colaberation

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Advanced Cell Culture Perfusion Lid Development

Sardar and his team did an amazing job with our product development. They were professional and delivered high-quality work. I can highly recommend them!

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5,0

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AI LLM Project Management Oversight

“Sadar and his team were exceptional. They delivered exactly what was requested, stayed within budget, and maintained a high standard of quality throughout. I highly recommend his services.

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Experiencia

Founder & Chief Executive Officer (CEO)

may, 2020 - Presente

•

6 años

MHTechFusion

may, 2020 - Presente

•

6 años

Founder & CEO of MHTechFusion, leading embedded systems, electronics, PCB design, firmware, and IoT projects for international clients. Also overseeing cloud infrastructure, AI/ML solutions, and full-stack app & web development initiatives. Responsible for technical leadership, system architecture, team coordination, and end-to-end project delivery with a strong focus on quality, scalability, and reliability.

Bandera de

Freiburg im Breisgau, Germany

may, 2020 - Presente

•

6 años

Educación

Albert-Ludwigs-Universität Freiburg im Breisgau

2022 - 2024

•

2 años

Master's of Embedded Systems

Bandera de

Germany

2022 - 2024

•

2 años

National University of Science and Technology

2017 - 2021

•

4 años

Electrical Engineering

Bandera de

Pakistan

2017 - 2021

•

4 años

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AI At the Edge (FPGAS)

2022

AI Lounge

Artificial Intelligence Workshop: -> Convoluted Neural Networking -> Computer Vision -> Reinforcement Learning -> Speech Recognition -> Verilog/VHDL

2022

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Android Development

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