Summary
Leonid Shvechikov is a Principal Software & Data Engineer with 16 years of experience turning noisy, unstructured public web data into reliable, production-ready systems. Based in San Jose, he leads large-scale data engineering and search projects at Dun & Bradstreet after driving fuzzy-search, ML infrastructure, and data integration as a senior engineer and technical lead at Orb Intelligence. His background includes building high-throughput services at Yandex (including a national exam prep system that handled thousands of requests per second) and early work automating Linux distribution builds, showing deep systems and ops chops. He combines hands-on coding, system design, and team leadership to deliver resilient data pipelines and search backends. Notably, he bridges research-grade ML infrastructure with pragmatic API and backend engineering, making experimental models usable in production.
16 years of coding experience
12 years of employment as a software developer
Specialist (Master of Engineering, computer machines, complexes, systems and networks, Specialist (Master of Engineering, computer machines, complexes, systems and networks at Saratov State University named after N.G.Chernyshevsky
English