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, active learning, and Bayesian techniques to large-scale, sparsely labeled datasets. He focuses on designing optimal datasets and uncertainty-aware learning systems, blending deep learning practice with principled probabilistic methods. A former startup founder and past ML scientist at NVIDIA, he brings both product-minded engineering and rigorous academic training from UC Berkeley and Harvard in mathematical logic. Adam also contributes to ML for science and AI safety efforts, and is known for pairing technical depth with a practical sense for dataset curation that improves downstream model reliability.
9 years of coding experience
University of California, Berkeley
matlab, octave, bash, lisp, French, Dutch, Polish, c, ruby, swift, java, python, English
Github Skills (31)
preprocessing10
feature-extraction10
feature-selection10
feature-engineering10
tsne10
nvidia10
recommender-system10
tabular10
recommender10
recommendation-system9
datasets9
machine-learning9
gpu9
deep-learning8
scale8
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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