Summary
Anton Klenitskiy is a Senior ML Researcher at Sber AI Lab with 11 years of experience bridging theoretical physics and applied machine learning. He holds a PhD-level background in theoretical and mathematical physics and has repeatedly placed top-three in competitive ML challenges (Kaggle Master, Sberbank AutoML, ID R&D antispoofing, Data Fusion 2022), highlighting strong hands-on modeling and evaluation skills. His work focuses on recommender systems, NLP and audio tasks, and he has a track record of leading data science teams and building voice-assistant platforms for contact centers. An experienced researcher and lecturer, he prefers fundamental AI/ML research over engineering roles and publishes scientific papers while teaching deep learning at the master’s level. Notably, his career spans both industry R&D (IBM, X5, Sber) and practical productization efforts, giving him a rare mix of rigorous theory and competition-proven solution design.
11 years of coding experience
6 years of employment as a software developer
кандидат наук, Теоретическая и математическая физика, кандидат наук, Теоретическая и математическая физика at Московский Государственный Университет им. М.В. Ломоносова (МГУ)
Русский, Английский, Французский