Vladimir Belyaev
Lead Machine Learning Engineer at VK
Moscow, Moscow, Russia
Summary
👤
Senior🎓
Top SchoolVladimir Belyaev is a Lead Machine Learning Engineer based in Moscow with eight years of experience building recommendation systems and production ML pipelines from raw data to deployed models. He has progressed through roles at Mail.Ru Group into a leadership position at VK, driving improvements in music recommendations, A/B testing frameworks, distributed systems, and analytics dashboards. Vladimir combines hands-on model development (collaborative filtering, outlier analysis, profiling) with pragmatic engineering—designing data pipelines and optimizing daemon performance for real-time services. He is comfortable translating user behavior insights into measurable product growth and has repeatedly owned experiment evaluation and visualization end-to-end. Trained in Applied Mechanics at MSU, he brings a quantitative mindset and attention to performance that often uncovers non-obvious optimization opportunities in production systems.
9 years of coding experience
3 years of employment as a software developer
Lomonosov Moscow State University
Github Skills (8)
artificial-intelligence8
python8
ai8
data-science7
pytorch7
machine-learning7
deep-learning7
pretrain6
Programming languages (2)
Github contributions (5)
vladimirbelyaev/DM_sphere
Oct 2017 - Dec 2017
Contributions:12 pushes, 1 branch in 2 months
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