Adam Lesnikowski
Research Scientist
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolAdam Lesnikowski is a research scientist in the San Francisco Bay Area with nine years of experience applying ML and deep learning to large scientific datasets and AI safety problems. He focuses on active learning, uncertainty quantification, and Bayesian methods to create optimal datasets and enable learning with limited labels, combining rigorous math-logic training from UC Berkeley and Harvard with practical ML engineering. Previously an ML scientist at NVIDIA and a startup founder, he bridges research and product to ship data-efficient modeling solutions. Outside work he pursues science and technology projects and is an avid dog enthusiast, a small clue to the curiosity and persistence he brings to messy real-world problems.
9 years of coding experience
University of California, Berkeley
matlab, octave, bash, lisp, French, Dutch, Polish, c, ruby, swift, java, python, English
Github Skills (34)
preprocessing10
feature-extraction10
feature-selection10
feature-engineering10
tsne10
nvidia10
recommender-system10
tabular10
recommender10
recommendation-system9
datasets9
recommender-systems9
machine-learning9
gpu9
deep-learning8
Programming languages (4)
Github contributions (5)
lesnikow/direct-preference-optimization
May 2024 - Feb 2025
Reference implementation for DPO (Direct Preference Optimization)
Contributions:20 PRs, 212 pushes, 33 branches in 9 months
lesnikow/fast-chat
Jun 2024 - Feb 2025
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Contributions:84 pushes in 8 months
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