Paul Gladkov
Machine Learning Engineer at Kaggle
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolPaul 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.
11 years of coding experience
9 years of employment as a software developer
Engineer's degree, Space Vehicles and Acceleration Blocks, Engineer's degree, Space Vehicles and Acceleration Blocks at Bauman Moscow State Technical UniversityBig data analyst, Big data analyst at New Professions Lab
Русский, Английский
Github Skills (35)
gbm10
xgboost10
dataflow10
machine-learning10
distributed-systems10
java10
gradient-boosting10
dask10
hadoop9
spark9
python9
scala9
audio9
nlp8
deep-learning8
Programming languages (2)
Github contributions (5)
pvgladkov/knowledge-distillation
Nov 2019 - Apr 2020
PyTorch implementations of algorithms for knowledge distillation.
Contributions:23 commits, 6 pushes in 5 months
pytorchmachine-learningdeep-learningneural-networks
pvgladkov/BigData
Mar 2015 - Aug 2025
Contributions:46 pushes, 1 branch in 10 years 7 months
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