Nikolay Donets is Head of Machine Learning Engineering at Revolut with 12 years of experience building production-grade, auditable AI systems for high-stakes industries. He holds a PhD in engineering and started in control systems and predictive maintenance for critical infrastructure before transitioning through computational biology to NLP, search, recommender systems and GenAI. Nikolay specialises in marrying ML research with rigorous operations, compliance and regulatory requirements to deliver safe, reliable models from day one. His career spans technical leadership across multiple geographies—from Moscow and Saint Petersburg to Toronto and London—bringing a rare blend of academic depth and hands-on platform scaling. Colleagues rely on him to turn prototypes into regulated, production-ready services that withstand scrutiny.
12 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Engineering, Doctor of Philosophy - PhD Engineering at Siberian Transport University
Contributions:2 releases, 82 commits, 85 pushes in 1 year 11 months
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