Boyan Stoychev

Background

About Boyan Stoychev

Physicist and data scientist with a multidisciplinary background spanning machine learning, computer vision, physics-based modeling, and advanced materials characterization using X-ray and vision-based instrumentation. I specialize in translating complex experimental and manufacturing datasets into actionable insights through statistical analysis, feature engineering, and physics-informed ML models.In my current role at Tesla, I develop and deploy computer vision and machine learning models for inline metrology and offline characterization in dry electrode cell manufacturing. My work includes designing end-to-end ML pipelines, analyzing large-scale manufacturing datasets, and building LLM-based diagnostic tools to enhance process reliability. I am passionate about applying cutting-edge ML and data science techniques to solve challenging real-world engineering problems, optimize processes, and improve product quality.Core Expertise: Machine Learning, Computer Vision, Feature Engineering, Physics-Informed Modeling, Data Analytics, LLMs for Diagnostics, X-ray and Sensor-based Metrology, Python (PyTorch, OpenCV, Pandas, Streamlit, LangChain).