Summary
Alexey Demyanchuk is a Data Scientist and Machine Learning Engineer with 9 years of experience at the intersection of clinical research and applied ML, currently advancing hearing loss diagnostics at Hannover Medical School. Trained as an MD and later as a software engineer, he uniquely blends medical domain knowledge with hands-on ML production experience, from predictive clinical models to deployed banking AML classifiers. He has led interdisciplinary collaborations to collect and annotate medical imaging data and produced pathology-classification models with results comparable to state-of-the-art. Independently, he’s building large language models from scratch—reproducing GPT-2 as a practical exercise—to deepen his understanding of transformer internals, training dynamics, and scalable deployment. Based in Hanover, Germany, he focuses on bridging rigorous research with engineering-minded implementation to deliver clinically meaningful ML solutions. His Github motto, "Building deep foundations, one token at a time," reflects a disciplined, research-driven approach to model engineering.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Software Engineer, Master's degree, Software Engineer at Novosibirsk State Technical University (NSTU)
Doctor of Medicine (MD), General Practice, Doctor of Medicine (MD), General Practice at Амурская Государственная Медицинская Академия
Русский, Английский, German