Summary
Yauhen Babakhin is a Senior Applied Research Scientist at NVIDIA with nine years of industry experience and an 11-year background across deep learning disciplines, specializing in embedding and retrieval systems for production-scale RAG applications. A Kaggle Grandmaster and ex-top-10 global competitor, he bridges cutting-edge research and practical impact—publishing production-ready embedding models such as NVIDIA’s llama-embed-nemotron-8b. He has held senior roles at H2O.ai and taught Practical Deep Learning at Czech Technical University, demonstrating a rare mix of hands-on model development, systemization, and pedagogy. Yauhen’s work spans NLP and computer vision, with a track record of moving complex ML ideas into measurable business outcomes and reusable open models. Based in Prague, he combines rigorous academic training in applied data analysis with a talent for translating competitive experimentation into robust, deployable systems.
8 years of coding experience
10 years of employment as a software developer
Master's Degree, Applied Data Analysis, Master's Degree, Applied Data Analysis at Belarusian State University
English, Russian, Czech