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Muhammad Asad N.

@MuhammadAsad108

5,0

3,7

75%

AI Developer | ML & Chatbot Expert

$30 USD / hora

・

Pakistan (4:36 a. m.)

・

Se unió el enero 18, 2020

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1 Recomendación

$30 USD / hora

・

I’m an experienced AI and Automation Developer specializing in building intelligent systems, chatbots, and workflow automation solutions. My expertise includes Python, OpenAI, LangChain, n8n, and machine learning models for data-driven business solutions. I’ve developed projects in computer vision, NLP, AI-powered chatbots, workflow automation, and predictive analytics—helping startups and enterprises automate processes, reduce manual work, and improve decision-making through real-time AI insights. I also integrate AI solutions with Next.js, React, Firebase, and Render Cloud, ensuring seamless deployment and scalability. ✅ Key Skills: Artificial Intelligence (AI) & Machine Learning NLP & Chatbot Development (OpenAI, Dialogflow, LangChain) Automation & API Integration (n8n, Zapier, Python APIs) Computer Vision (OpenCV, YOLO, TensorFlow) Web Development (Next.js, React, Node.js) Passionate about transforming ideas into intelligent digital solutions that enhance productivity and deliver measurable results.

Verificaciones

A tiempo

100 %

Dentro del presupuesto

100 %

Aceptar tarifa

82 %

Tasa de recontratación

13 %

Ver todo Mobile App Developers en Pakistan

Portafolio

I developed an advanced AI-powered system combining Computer Vision and Natural Language Processing (NLP) to enable machines to interpret visual data and understand contextual language in real time.

Using OpenCV, I implemented powerful image-processing pipelines for object detection, facial recognition, motion tracking, and feature extraction. The system utilized TensorFlow and PyTorch models for deep learning–based tasks such as image classification and semantic segmentation.

On the NLP side, I integrated transformer-based models (BERT, GPT) for text understanding, sentiment analysis, and language generation. This allowed the system to not only “see” but also “describe” and “analyze” what it observed — bridging vision and language intelligence.

The final solution was deployed as a web-based AI dashboard, where users could upload images or videos and receive both visual insights and natural-language reports. I also optimized the model pipelines to ensure real-time processing using P

OpenCV and Deep Learning ObjectCh.

Intelligent Vision & NLP System

Developed an intelligent AI-powered customer support chatbot capable of handling real-time customer queries, providing instant answers, and automating routine support tasks. The system uses OpenAI GPT models, LangChain, and Dialogflow for natural, context-aware conversation.

Integrated with company knowledge bases, FAQs, and CRM systems to deliver personalized responses, ticket creation, and product recommendations. The chatbot can understand intent, analyze sentiment, and escalate complex queries to human agents when needed.

Deployed across multiple channels including web chat, WhatsApp, and Slack, using secure REST APIs and WebSockets for smooth communication. Implemented analytics dashboards to track user engagement, satisfaction, and response accuracy.

The solution greatly reduces human workload, improves response times, and enhances overall customer experience for global businesses.

AI Chatbot for Customer Support

13668857

Developed a real-time AI Map Streaming System that combines Computer Vision, Geospatial Data, and AI analytics to track, visualize, and analyze live movement data on an interactive map interface.

The system integrates OpenCV, YOLOv8, and TensorFlow for real-time object detection and classification using live camera feeds or drone video streams. Detected objects are geotagged using GPS coordinates, which are instantly plotted on a dynamic Leaflet.js / Mapbox map with live updates.

Implemented AI models to predict object movement patterns, speed, and potential routes using Kalman Filters, DeepSORT, and LSTM-based trajectory forecasting. This allows for intelligent route prediction, congestion alerts, and automated anomaly detection.

Integrated the backend using Python (FastAPI / Flask), and built an interactive React + Next.js frontend with a WebSocket connection for real-time data updates. Data is stored securely in MongoDB / Firebase, and the system is deployed on AWS / Render Cloud

AI-Based Live Map Streaming

Built an intelligent automation system using n8n, integrating AI models and APIs to streamline repetitive workflows and business operations. Designed custom nodes connecting OpenAI GPT models, Google Sheets, Notion, and Slack, enabling automated data processing, report generation, and natural language responses.

Configured AI-based triggers for decision-making tasks, allowing workflows to interpret messages, summarize content, or generate actionable insights automatically. Implemented REST APIs and webhooks for real-time communication between AI agents and third-party apps.

Deployed the automation on Render Cloud with PostgreSQL as the database for persistent state management. The solution reduces manual work, enhances response time, and adds intelligence to traditional workflow automation.

AI-Powered Automation using n8n

13668847

Developed an intelligent heart monitoring and prediction system using AI and machine learning models to analyze ECG (Electrocardiogram) signals and detect heart abnormalities in real time. The system applies signal preprocessing with OpenCV, NumPy, and SciPy to filter and normalize ECG data. Multiple deep learning architectures — including CNN, LSTM, and Random Forest — were trained using TensorFlow and Scikit-learn for classification and prediction of cardiac patterns such as arrhythmia and tachycardia.

Integrated the backend using Python Flask API and a cloud-based database (Firebase/MongoDB) for secure patient record management. The frontend was developed with React and TypeScript for smooth user interaction and real-time visualization of ECG waves. The project enhances early heart disease detection and helps medical professionals provide timely interventions through automated AI insights.

AI Heart Care ECG Prediction System

OpenCV and Deep Learning ObjectCh.

Intelligent Vision & NLP System

AI Chatbot for Customer Support

13668857

AI-Based Live Map Streaming

AI-Powered Automation using n8n

13668847

AI Heart Care ECG Prediction System

5.0 · 4 Comentarios

Opiniones

I need a developer experienced with Expo and EAS to fully handle the publishing of my mobile app to Google Play and Apple App Store. Tasks include preparing build files, configuring app signing, uploading all required assets, resolving store errors, and e • $35 USD

He soo good ممتاز جدا

Mobile App Development

+2 más

Abduleah A.

@Alanazaf1234

•

Makkah, Saudi Arabia

•

hace 8 días

ERPNext Game Server Hosting Storefront • ₹21.000 INR

Muhammad did a great job on this project. He was professional, responsive, and clearly knowledgeable in what he was doing. He took the time to understand the requirements, troubleshoot issues properly, and deliver a solid solution. I would definitely recommend Muhammad to others and would be happy to work with him again on future projects.

Victor H.

@victorhernandezs

•

Waukee, United States

•

hace 15 días

Cake PHP to iOS App Integration • $440 USD

Muhammad did a great job! Will definitely work with him again!

PHP

Website Design

Mobile App Development

iPhone

CakePHP

+3 más

Joe S.

@joes079

•

Atlanta, United States

•

hace 1 mes

Production-Ready Image Model Fine Tuning • $250 USD

The project is not completed according to the dispute

Python

CUDA

Machine Learning (ML)

C++ Programming

OpenCL

+5 más

Jovan I.

@jovani81

•

Lajkovac, Serbia

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hace 2 meses

AI Developer

oct, 2022 - Presente

•

3 años, 3 meses

Self-Employed

oct, 2022 - Presente

•

3 años, 3 meses

Developed and deployed AI-powered web applications integrating intelligent systems with modern front-end and back-end frameworks. Built chatbots, recommendation engines, and document analyzers using OpenAI, LangChain, and Python. Implemented React.js and Node.js for scalable interfaces, connected with MongoDB/Firebase for data management, and deployed full-stack systems on Render and AWS.

Lavasani, Canada

oct, 2022 - Presente

•

3 años, 3 meses

Web & AI Developer

sept, 2019 - Presente

•

6 años, 4 meses

Remote for U.S. & European Clients

sept, 2019 - Presente

•

6 años, 4 meses

Built AI-powered web apps for U.S. (San Francisco) and European startups using OpenAI, LangChain & Python. Developed chatbots, automation tools, and dashboards with React, Node & MongoDB. Delivered scalable, high-performance solutions on Render, Firebase & AWS for global SaaS clients.

Remote for U.S., United States

sept, 2019 - Presente

•

6 años, 4 meses

Web & AI Developer

nov, 2018 - jun, 2023

•

4 años, 7 meses

TechNova Solutions

nov, 2018 - jun, 2023

•

4 años, 7 meses

Developed web apps using React, Next.js, and Node.js with REST APIs. Integrated AI features like chatbots, text summarization, and image analysis using OpenAI and Python. Deployed on Render and Firebase with MongoDB. Built real-time dashboards and automated workflows for client projects.

Lahore, Pakistan

Muhammad Asad A.

@asadr93

CEO manager

It has been an absolute pleasure working with Asad nisar, who served as a Web & AI Developer on several high-impact projects for NovaTech AI Labs. and

nov, 2018 - jun, 2023

•

4 años, 7 meses

San Francisco State University

2018 - 2023

•

5 años

bachelor in Artificial intelligence

United States

2018 - 2023

•

5 años

Applied Generative AI with OpenAI APIs

2024

OpenAI & DeepLearning.AI

Gained practical experience integrating ChatGPT, DALL·E, and Embeddings APIs into full-stack systems. Built AI chatbots, text analyzers, and content-generation tools using LangChain, Flask, and React. Learned prompt engineering, model fine-tuning, and cloud deployment using Render, AWS, and Vercel for real-world use cases.

2024

Full Stack Web Development Specialization

2024

Meta (Facebook) / Coursera

Learned to build and deploy modern web applications using React.js, Node.js, Express, and MongoDB. Developed real-world projects including e-commerce dashboards and AI-integrated web tools. Focused on responsive UI/UX design, API development, and scalable architecture for cloud-based applications.

2024

Professional Certificate in Machine Learning & AI

2023

Google Cloud

Completed hands-on training in machine learning, deep learning, and AI model deployment using TensorFlow, Python, and Google AI tools. Designed and deployed intelligent web services with real-time prediction APIs, gaining expertise in data preprocessing, NLP, and AI-driven automation for business solutions.

2023

From Web Apps to Intelligent Systems: The Future of AI Development

2025

LinkedIn Articles / Personal Blog

Discussed the evolving role of AI developers in transforming web platforms into intelligent systems. Covered topics like Generative AI, LangChain memory systems, multi-agent workflows, and data-driven automation for startups in the U.S. and Europe.

2025

AI Integration in Next.js for Real-World Business Platforms

2024

Towards Data Science (Medium Partner Program)

Shared case studies and technical guidance on embedding AI features in Next.js web apps, including NLP-based support bots, content analyzers, and recommendation systems. Highlighted deployment strategies on Render and AWS, ensuring scalability and GDPR compliance for European business clients.

2024

Building Smarter Web Applications with OpenAI and LangChain

2024

Medium (Tech & AI Community)

Authored an in-depth article exploring how developers can integrate OpenAI APIs and LangChain into modern web apps using React, Node.js, and Python Flask. The publication focuses on AI-powered automation, context-based chatbots, and real-time data handling, offering practical code insights for full-stack developers.

2024