Nikolay Zakharov is a software engineer with 15 years’ experience building scalable, performance-sensitive backend systems and machine learning infrastructure across major search and advertising platforms. He has driven substantial efficiency gains—e.g., a 93% CPU and 47% memory reduction in forecasting workflows at Google—while leading multi-quarter refactors of core optimization components. His background spans system programming in C++/Python/Java, large-scale data/model pipelines, and pragmatic tooling that eliminated repetitive developer work at Microsoft and Yandex. Comfortable designing from-scratch services and production ML toolchains, he emphasizes code accuracy, automation, and measurable operational metrics. Based in the New York City area, he prefers backend and system-level challenges and has a track record of turning complex record-linkage and attribute-selection problems into reliable, testable platforms. An analytical problem-solver trained at Bauman MSTU, he tames diverse technologies rather than being constrained by them.
15 years of coding experience
11 years of employment as a software developer
Bachelor of Science (B.S.), Informatics,CS, 4.83, Bachelor of Science (B.S.), Informatics,CS, 4.83 at Bauman Moscow State Technical University
Contributions:14 pushes, 1 branch in 4 years 3 months
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Nikolay Zakharov - Software Engineer at Confidential