Egor Klevak
Applied Scientist at Amazon
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolEgor Klevak is an Applied Scientist with 11 years of experience building end-to-end ML systems that translate research into production, most recently applying GenAI to Amazon Ads after leading recommendation and pricing models at Zillow and Semantic Scholar work at AI2. He specializes in scalable PySpark pipelines, learning-to-rank and CatBoost models, and pragmatic anomaly-detection and outlier solutions that replaced heuristic rules in high-volume real-estate systems. Comfortable taking ideas from prototype to daily-running production for tens of millions of users, he has a PhD in Computational Physics and a track record of leveraging scientific rigor for robust engineering. Outside of ML, he organizes competitive sailing as Principal Race Officer in Seattle, a role that underscores his operational leadership and attention to complex, real-time logistics.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Computational Physics, Doctor of Philosophy (PhD), Computational Physics at University of WashingtonM.S., Theoretical Physics, M.S., Theoretical Physics at Saint Petersburg State UniversityФМШ 45 (АГСПбГУ)
English, Russian
Github Skills (45)
r9
computation9
classification9
multimodal9
data-mining9
kaggle9
cpu9
regression9
cuda9
scalable8
python8
coreml8
gpu8
machine-learning8
pdf8
Programming languages (3)
Github contributions (5)
allenai/s2_fos
Apr 2023 - Feb 2024
Contributions:13 reviews, 3 PRs, 15 pushes in 10 months
comorado/OOB_anomaly_detection
Feb 2019 - Feb 2020
Contributions:3 pushes, 1 branch in 1 year
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