Nikolay Donets

Head Of Machine Learning Engineering at Revolut

Stony Stratford, England, United Kingdom
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Summary

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Senior
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Top School
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.
code12 years of coding experience
job7 years of employment as a software developer
bookDoctor of Philosophy - PhD Engineering, Doctor of Philosophy - PhD Engineering at Siberian Transport University
languagesEnglish
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Stackoverflow

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Github Skills (54)

actor-framework10
permutation10
concurrent10
jvm10
reactive10
python10
breeze10
distributed-systems10
akka10
java10
numpy10
sdk10
akka-streams10
high-performance10
cloud-native10

Programming languages (4)

C#DockerfileScalaPython

Github contributions (5)

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nikdon/pyEntropy

Feb 2015 - Jun 2021

Entropy for Python
Contributions:15 releases, 1 review, 49 commits in 6 years 4 months
entropypythonmultiscalenumpypermutation
nikdon/ranola

Mar 2015 - Feb 2017

Contributions:2 releases, 82 commits, 85 pushes in 1 year 11 months
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