Hi! Welcome to my website

Hello, I am a Master’s student at Christian-Albrechts-Universität zu Kiel (Kiel University) , Germany, pursuing Electrical and Information Technology.

I’m focusing on Embodied AI, Deep Reinforcement Learning, Robot Learning under Partial Observability, 3D Computer Vision and Spatial Representation Learning.

Along with my studies, I am working as a Research Assistant (HiWi) in the Bio-Inspired Computation group at CAU Kiel, led by Prof. Dr. Jan Steinkühler. My work mainly involves training and developing machine learning and deep learning pipelines for protein yield prediction, and integrating pipetting robots into the workflow for required experiments.

I enjoy building projects ranging from simple note-taking apps to advanced machine learning and signal processing models, each helping me explore adaptive data-driven systems.

Relevant Coursework

Core and Elective Modules: Pattern Recognition and Machine Learning, Generative AI (Vision focused), Essential Numerical Methods, Swarm Communication and Navigation, Advanced Digital Signal Processing, Optimization and Optimal Control, Bio-inspired Information Pathways.

Seminar and Laboratory: Seminar on Generative Artificial Intelligence, Laboratory Real-time Signal Processing [Time Series Prediction of Handovers for Maritime Autonomous Vehicles using Machine Learning]

Independent Projects

Automated Detection of Freezing of Gait in Parkinson's Disease from Accelerometer Data

Team:

Souvick Chakraborty, Dr. Robbin Romijnders

Offline Markdown Notepad with LLM Summarizer

Building ML models from scratch

Souvick Chakraborty

Relevant Coursework

Independent Projects

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