Oleg Svidchenko is a Chief Data Scientist with 10 years of experience building RL-driven systems and LLM multi-agent tools, currently leading AI efforts at Sberbank and previously at the Industrial Artificial Intelligence Association. He bridges research and product by curating LLM-based code design for scientific platforms and delivering RL solutions for complex engineering problems like oil extraction planning. His background includes multi-year reinforcement learning research at JetBrains, hands-on concurrency work showcased in a high-performance computing course repository, and mentoring students and interns. Based in St. Petersburg, he combines applied math training with practical systems engineering to move advanced research into production-ready tools.
10 years of coding experience
6 years of employment as a software developer
Бакалавр, Бакалавр at St. Petersburg Academic University of the Russian Academy of Sciences
Магистр Прикладная математика, Магистр Прикладная математика at Higher School of Economics
Repository to store student's practical works on high performance computing course
Role in this project:
Back-end Developer
Contributions:5 commits, 2 PRs, 1 comment in 2 months
Contributions summary:Oleg contributed to a high-performance computing course repository by implementing and refactoring concurrent programming solutions. They wrote a program using pthreads for producer-consumer problem, which was further refined through multiple commits addressing synchronization and concurrency issues. Additionally, they provided and tested lock-free set implementations for concurrency. These commits demonstrate proficiency in concurrent programming concepts.
Contributions:28 PRs, 62 pushes, 29 branches in 1 year 3 months
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