Yauhen Babakhin
Senior Applied Research Scientist at NVIDIA
Prague, Prague, Czechia
Summary
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Rockstar🎓
Top SchoolYauhen 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.
9 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
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (56)
multilabel-classification10
pytorch10
sentence-embeddings10
kaggle10
benchmark10
chatgpt10
sentence-transformers10
evaluation10
retrieval10
semantic-segmentation10
llama10
barrage10
information-retrieval10
text-classification10
semantic-search10
Programming languages (3)
Github contributions (5)
ybabakhin/zindi_wheat_growth
Sep 2020 - Oct 2020
1st place solution for CGIAR Wheat Growth Stage Challenge
Contributions:40 commits, 4 pushes in 29 days
deep-learningimage-classificationpytorchresnetpytorch-lightning
ybabakhin/kaggle_salt_bes_phalanx
Aug 2018 - Aug 2019
Winning solution for the Kaggle TGS Salt Identification Challenge.
Contributions:90 commits, 4 pushes, 6 comments in 1 year
kaggledeep-learningimage-segmentationsemantic-segmentationu-net
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