Arseniy Trushin is a machine learning engineer and former physicist with over a decade of experience building production ML systems, ranking algorithms and scientific software across companies like Yandex, Joom, Equifax and App in the Air. He combines deep technical chops in Python, C++ and Golang with hands‑on experience training and evaluating LLMs for educational assistants at Yandex Schoolbook, where he also led projects for ML artifact storage and synthetic dialogue generation. Earlier work spans from electromagnetic finite‑element solvers and Monte‑Carlo field simulations to analytics pipelines that powered personalized insights for travel users, reflecting a rare blend of research-grade numerical methods and product‑focused ML engineering. An experienced educator who taught at MSU and RAU, he enjoys mentoring students and translating complex algorithms into robust, measurable systems.
Contributions:11 commits, 1 PR, 36 pushes in 4 years
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