Summary
Mstislav Maslennikov is an ML architect and research supervisor with a PhD in Computer Science and over two decades of experience designing and shipping production ML systems for high-load products. He has led the launch of a dozen ML services for audiences exceeding 10M users—spanning recommendations, content moderation, anti-fraud, and vector search—while squeezing latency, memory and cost to meet real infrastructure constraints. Known for turning ambiguous research problems into robust production pipelines, he combines hands-on skills in PyTorch, FAISS/nmslib and distributed data stacks with a track record of measurable gains (e.g., boosting NDCG@20 from 18% to 42.8% and delivering 99%+ moderation precision). His career bridges research and engineering—from patented NLP work and ACL/TOIS publications to building internal ML libraries and mentoring teams—making him equally fluent in model design, systems engineering, and operational trade-offs. Based in Moscow, he often solves problems by rethinking data-exchange and update patterns (S3+Trino pipelines, incremental inference) to achieve 5–10x performance improvements under tight resource budgets.
12 years of coding experience
5 years of employment as a software developer
Specialist (5 years, equivalent to MS), Applied Mathematics, Specialist (5 years, equivalent to MS), Applied Mathematics at Moscow State University
PhD, Computer Science, PhD, Computer Science at National University of Singapore