Summary
Andrei Belov is a Data and AI leader based in London with nine years of hands-on experience building production-grade machine learning systems, data platforms, and web services. He has led multi-team DS organizations at Sberbank, delivering high-impact products from OCR and property valuation to recommender systems and anti-fraud pipelines that scaled to millions of users and real-time document processing. Comfortable bridging research and product, he designs custom neural architectures optimized for CPU inference, integrates MLOps and FeatureStore practices, and has a track record of cutting manual work to zero and dramatically improving throughput and precision. As a former MIPT tutor and ABBYY engineer, he combines strong academic foundations with practical speedups (e.g., 20x model inference gains) and production engineering across Kubernetes, Airflow, and message-driven systems. Now leading Data & AI at Apron, he focuses on turning advanced ML into tangible product opportunities and faster business value. An understated strength is his ability to organize and industrialize data labeling and deployment workflows, enabling rapid iteration from prototype to production.
9 years of coding experience
13 years of employment as a software developer
Associate’s Degree, Computer Software Engineering, Associate’s Degree, Computer Software Engineering at Moscow Technical College
Master's Degree, Computer Science, Master's Degree, Computer Science at Moscow Institute of Physics and Technology (State University) (MIPT)
English, Russian