Vlad Sly is a machine learning researcher and engineering leader with 9 years of experience building large-scale ML and backend systems, now serving as Co-Founder and CTO of PEARCH.AI in Bristol. He has led teams at Meta to deliver billion-item pipelines—including deduplication and hierarchical classification that processed 100M+ training samples and classified 40B+ items—and driven ML efforts at Flo Health and CellVoyant. Equally comfortable in Python research workflows and production C/C++/Java backends, he has a rare combination of deep systems engineering (distributed storage and low-latency search at Mail.Ru and Yandex) and applied ML productization. Known for scaling systems to meet extreme throughput (1.2B hits/day storage, terabyte-scale indices) he blends academic rigor from MSU with pragmatic, production-first engineering. Colleagues value him for translating complex research into robust, deployable systems and for founding startups that bridge ML innovation and real-world impact.
8 years of coding experience
17 years of employment as a software developer
Master of Science (M.S.) Computer Software Engineering, Master of Science (M.S.) Computer Software Engineering at Computational mathematics and cybernetics faculty, MSU
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