Summary
Andrey Avdeev is a hands-on engineering leader with 10 years of experience building ML-driven and high-load backend systems, currently heading Machine Learning at Aeroflot. He has repeatedly taken projects from prototype to production—designing MLOps, CI/CD and infra (MLFlow, DVC, Kubernetes) and building real-time pipelines for recommendation, face re-identification and queue prediction in retail and fintech. Andrey blends team leadership and hiring with deep technical work: architecture, Python SDKs, Kafka/NSQ clusters, Cassandra and monitoring stacks he has deployed and operated at scale. He has co-founded a startup, led billing and crisis-rewrite efforts at VK Cloud, and is comfortable turning legacy systems into resilient, observable platforms. Notably, he pairs physics-rooted research thinking with pragmatic delivery, often implementing entire stacks (from hardware testing to deployment) himself.
11 years of coding experience
9 years of employment as a software developer
Master's degree System Analysis and Management, Master's degree System Analysis and Management at Moscow Institute of Physics and Technology (State University) (MIPT)
Russian, English