Summary
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.
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 University
Big data analyst, Big data analyst at New Professions Lab
Русский, Английский