Kirill Gugaev
Staff ML Engineer at Google
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolKirill Gugaev is a Staff ML Engineer and seasoned tech leader based in London with over a decade of experience building AI-driven, large-scale systems across Big Tech and startups. He has led engineering and ML teams at Google and Corrily (YC W21), where he scaled pricing infrastructure to serve 1 billion+ live prices and implemented a subscription analytics pipeline processing terabytes of billing data. As CTO and founder he has repeatedly turned research into production — shipping price-optimization and anti-fraud systems that materially increased client ARR and processed hundreds of millions of daily events. His background combines rigorous applied mathematics (MSU) and Yandex School of Data Analysis training with hands-on product delivery in SaaS, finance, and conversational AI across global markets. Colleagues rely on him for architecture choices that boost development velocity (Corrily: +30%) and for recruiting high-caliber teams that bridge research and engineering. Less obvious: he pairs startup-built commercial instincts (company exits and enterprise deals) with production-grade ML expertise, making him effective at both technical strategy and revenue-impacting execution.
9 years of coding experience
11 years of employment as a software developer
The strongest Math & DataScience 2-yr program in Russia, The strongest Math & DataScience 2-yr program in Russia at Yandex School of Data AnalysisLomonosov Moscow State University
Русский, Английский
Github Skills (86)
api9
r8
computation8
rest-api8
regression8
api-documentation8
data-mining8
kaggle8
classification8
mongodb8
documentation-generator8
access-control7
swagger7
gpu7
whatsapp7
Programming languages (6)
Github contributions (5)
gugaevkirill/Data-science-tasks
Jun 2017 - Jun 2021
Contributions:2 commits, 10 pushes, 1 branch in 4 years
fratbots/ebleeni
Nov 2017 - Nov 2017
Contributions:33 commits, 36 pushes, 2 branches in 1 day
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