I am a mathematician by training, holding a degree in Fundamental Mathematics from Lomonosov Moscow State University (MSU) and several publications in probability theory and statistics. I am currently deepening my expertise in applied theory as an MSc Statistics student at EPFL and as a Research Assistant at Oracle Labs in Zurich.
My work focuses on developing scalable machine learning solutions for diverse industrial applications. Previously, I designed high-impact models for companies like VKontakte and Saudi Aramco, where I improved recommendation systems and enhanced oil forecasting using advanced neural network architectures. I am driven by the challenge of applying such techniques to solve complex problems, bridging the gap between theoretical foundations and real-world results.

Published in the 6th St. Petersburg Youth Conference in Probability and Mathematical Physics proceedings. https://www.mathnet.ru/eng/conf2193

Published in the 7th St. Petersburg Youth Conference proceedings. https://www.mathnet.ru/eng/conf2364

Published in the Lomonosov & 2022 conference proceedings.
https://lomonosov-msu.ru/archive/Lomonosov_2022/data/section_20_25626.htm

Published in the Limit Theorems of Probability Theory and Mathematical Statistics conference proceedings. https://pps.kaznu.kz/ru/Main/FileShow2/210018/83/3/928/0/