I'm a versatile software engineer and machine learning expert, holding a Master's in Bioinformatics. My career spans roles in data engineering, machine learning, and full-stack development, with a notable project in developing a deep learning tool for image analysis in plant phenotyping at Umeå Plant Science Center. Skilled in Python, SQL, ReactJS, and machine learning frameworks like TensorFlow and PyTorch, I excel in implementing innovative solutions in data processing and AI. My work also includes the independent development of the AI-based 'Artistic AI' app, E-commerce poster selling store [login to view URL], SaaS solution [login to view URL].
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Programming Languages and Technologies:
Cloud Computing: Google Cloud Platform (GCP), AWS
Advanced proficiency in Python, SQL, Matlab, R, HTML, CSS, JavaScript.
Skilled in front-end development with ReactJS, React Native.
Experienced in back-end development using NodeJS and FastAPI.
Machine Learning Frameworks:
Expertise in TensorFlow (including Keras) and PyTorch.
Machine Learning and Data Processing Skills:
Proficient in data preprocessing (noise reduction, dimensionality reduction, normalization).
Skilled in data augmentation techniques.
Experienced with various deep learning models:
CNNs for image classification and segmentation.
LSTMs for time series analysis, prediction, and sentiment analysis.
Transformers (BERT) for sentiment analysis.
Classic neural networks for classification and regression.