Dzmitry Huba is a Senior Staff Software Engineer with deep expertise in distributed systems, privacy-first machine learning, and runtime/OS-level infrastructure, currently solving cross-region large-scale LLM training at Meta. He has led federated learning and analytics platforms at Facebook and built production federated ML infrastructure at Google that shipped to consumer products like Gboard and Assistant, demonstrating a rare combination of research publications and production impact. Dzmitry brings a history of designing high-performance control planes, resource-efficient protocols, and isolation-safe async/parallel libraries dating back to work on Midori and large-scale services at Microsoft and EPAM. He is experienced in growing and mentoring teams and translating privacy research into scalable systems—an engineer who moves from core runtime design to ML deployment while keeping user privacy central. An interesting throughline in his career is repeatedly improving long-tail performance and resource efficiency to enable services to scale globally under unreliable, non-uniform device loads.
3 years of coding experience
20 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Belarusian State University of Informatics and Radioelectronics
Meaningful control of data in distributed systems.
Contributions:12 pushes, 1 branch in 7 months
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Dzmitry Huba - Senior Staff Software Engineer at Meta