Staff Software Engineer Manager at Google DeepMind
London, England, United Kingdom
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Summary
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Rockstar
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Top School
Nick Sukhanov is a Staff Software Engineer Manager based in London with 12 years of experience building high-load, distributed systems and search infrastructure for products handling millions of requests per second. He has led core data platform efforts at Google DeepMind—delivering Sequence Storage and visualization tooling used across Gemini pretraining, robotics, and evaluation workflows—and previously shipped distributed sequential storage improvements at Meta on LogDevice and Scribe. His background spans ML experiment orchestration (XManager), web crawling at Yandex, and work on Cortana at Microsoft, reflecting a rare blend of production systems, algorithms, and machine learning infrastructure expertise. An MSU-trained mathematician with PhD-level studies, he brings rigorous analytical thinking to concurrency, consensus, and performance problems. Nick is also an open-source contributor who has fixed data races and refactored timers in Facebook’s LogDevice, demonstrating hands-on improvements to widely used distributed storage code. He combines technical depth with people leadership, scaling both systems and teams in research-to-production environments.
Contributions:121 commits, 3 PRs, 3 pushes in 2 years 1 month
Contributions summary:Nick primarily focused on addressing data races and concurrency issues within the `facebookarchive/logdevice` repository, a distributed storage system for sequential data. They fixed data races in the `TextConfigUpdater`, and refactored the code base by replacing `LibeventTimer` with a `Timer` interface to facilitate redesigning workers. They also added features such as polling of `ClusterState` from `RemoteLogsConfig`, and modifications related to adapting and calculating the store timeouts.
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