Roman Voeikov is a Machine Learning Team Lead based in London with 8+ years of deep learning experience, specializing in computer vision for sports and real-time systems. He currently leads ML efforts at Sportradar and has driven metric learning for player and team re-identification at Hawk-Eye, combining research-grade publications (CVPR workshop) with production deployment of high-frame-rate, containerized vision pipelines. Roman has a strong experimental mindset—designing multi-task neural networks, optimizing for real-time performance, and integrating filters like Kalman for robust predictions—while also managing cross-team engineering and release workflows. His background in materials science and early lab research gives him a rigorous, data-driven approach to problem formulation and experimentation that complements his open-source work under Oniro.
8 years of coding experience
10 years of employment as a software developer
Machine Learning and Data Analysis, Machine Learning and Data Analysis at Coursera
Machine Learning and Data Analysis, Machine Learning and Data Analysis at edX
Bachelor's degree, Materials Science, Bachelor's degree, Materials Science at Moscow State University
Machine Learning and Data Science, Machine Learning and Data Science at Open Data Science
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Roman Voeikov - Machine Learning Team Lead at Sportradar