Kirill Fedyanin
Senior AI Engineer at International Olympiad in Artificial Intelligence (IOAI)
Abu Dhabi, Abu Dhabi Emirate, Serbia
Summary
👤
Senior🎓
Top SchoolKirill Fedyanin is a Senior AI Engineer with 11 years of experience specializing in machine learning and autonomous systems, currently building self-driving car technology at Yandex from Abu Dhabi. His background blends deep technical research roles at TII and Skolkovo with hands-on product and leadership experience as CTO at SendIt, giving him both research rigor and pragmatic delivery instincts. He holds an applied mathematics and physics degree from MIPT and a master's in business analysis, enabling him to bridge complex algorithms and business impact. Kirill also contributes to the AI community as a member of the International Olympiad in Artificial Intelligence science committee, reflecting a commitment to education and talent development. Colleagues describe him as energized by creating new systems with smart teams, and he often gravitates toward projects where cutting-edge research meets real-world deployment. An underappreciated strength is his early career hardware and engineering experience, which informs his practical approach to deploying ML in embodied systems.
11 years of coding experience
12 years of employment as a software developer
Master's degree, Business Analysis, Master's degree, Business Analysis at Higher School of EconomicsBS, Applied mathematics and physics, BS, Applied mathematics and physics at Moscow Institute of Physics and Technology (State University) (MIPT)
Russian, English, French, Spanish
Stackoverflow
612reputation
113kreached
20answers
2questions
Github Skills (100)
uncertainty10
api10
flux10
api-documentation10
openai-api9
ctc9
audio9
active-learning9
prediction-model9
pytorch9
sequence9
dropout8
bayesian-deep-learning8
vpn-client8
chatgpt8
Programming languages (6)
Github contributions (5)
stat-ml/dpp-dropout-uncertainty
Mar 2020 - Jan 2021
Effective uncertainty estimation with decorellation and DPP mask for dropout
Contributions:90 commits, 10 PRs, 20 pushes in 10 months
maskeffectivedropoutestimationrisk-analysis
stat-ml/alpaca
Aug 2019 - Oct 2022
Library for active learning and uncertainty estimation in machine learning
Contributions:3 releases, 2 reviews, 334 commits in 3 years 3 months
active-learningmachine-learningestimationuncertaintyuncertainty-estimation
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.