Paul Gladkov

Machine Learning Engineer at Kaggle

London, England, United Kingdom
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Summary

👤
Senior
🎓
Top School
Paul Gladkov is a machine learning engineer and researcher with 11 years of experience building production ML systems and leading cross-functional teams, currently applying advanced perception and learning techniques at Wayve in London. He has driven large-scale applied ML initiatives at Avito—leading automated moderation, image retrieval, user clustering and fraud/spam detection—while also competing on Kaggle to sharpen practical data science skills. Comfortable across the full data pipeline, Paul moves between implementing novel algorithms and shaping platform-level solutions that scale across organizations. He holds an engineer’s degree in space systems and a Big Data analyst credential, reflecting a strong quantitative foundation that informs his pragmatic approach to ML engineering. A UK Global Talent Visa holder and open-source contributor, he blends research-minded experimentation with delivery focus, often tackling ambiguous problems that sit at the intersection of text, vision and systems optimization.
code11 years of coding experience
job9 years of employment as a software developer
bookEngineer's degree, Space Vehicles and Acceleration Blocks, Engineer's degree, Space Vehicles and Acceleration Blocks at Bauman Moscow State Technical University
bookBig data analyst, Big data analyst at New Professions Lab
languagesРусский, Английский
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Github Skills (39)

portable10
gbm10
xgboost10
dataflow10
machine-learning10
distributed-systems10
java10
gradient10
gradient-boosting10
boosting10
dask10
scalable10
hadoop9
spark9
scala9

Programming languages (2)

C++Python

Github contributions (5)

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webgeist/kaggle

Dec 2015 - Mar 2019

Contributions:36 pushes, 1 branch in 3 years 3 months
Contributions:23 commits, 6 pushes in 5 months
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Paul Gladkov - Machine Learning Engineer at Kaggle