Alexey Kuritsyn
Machine Learning Engineer at Meta
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolAlexey Kuritsyn is a Machine Learning Engineer and Ph.D. physicist based in San Jose with 8+ years building production ML systems across AdTech, bioinformatics, and scientific instrumentation. He combines top-1% Kaggle expertise and deep experience with large-scale ranking and RTB systems (Amobee/Nexxen) with a strong record of R&D leadership in optics and genomics (KLA, Pacific Biosciences), delivering measurable system and yield improvements. Comfortable from low-level signal and image processing to neural LLM fine-tuning, he regularly ships models in PyTorch/TensorFlow, Spark, and GPU-accelerated environments. Alexey has driven cross-functional teams, mentored engineers, and translated complex physical-system requirements into practical software and control solutions, holding 10+ patents and 26+ publications. Notably, his background in plasma and laser physics informs a rare ability to blend principled physical modeling with modern ML for high-stakes, instrument-level optimization. Currently contributing to Instagram Graph Ranking at Meta, he brings both academic rigor and production-first instincts to large-scale ML problems.
9 years of coding experience
26 years of employment as a software developer
Ph.D., Astrophysics / Plasma Physics, Ph.D., Astrophysics / Plasma Physics at Princeton University
Github Skills (2)
segmentation5
kaggle4
Programming languages (2)
Github contributions (5)
akuritsyn/udacity-ml-nanodegree
Jan 2020 - Apr 2020
Contributions:26 commits, 28 pushes, 2 branches in 2 months
akuritsyn/kaggle-pneumothorax
Sep 2019 - Apr 2020
Kaggle: SIIM-ACR Pneumothorax Segmentation
Contributions:17 commits, 16 pushes, 1 branch in 7 months
kagglesegmentation
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