Pavel Savchenkov
Machine Learning Engineering Manager at Snap Inc.
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolPavel Savchenkov is a Machine Learning Engineering Manager based in London with 11 years of experience building and shipping real-time computer vision and deep learning systems for mobile products. He currently leads a 15+ engineer ML team at Snap, responsible for viral AR Lenses like Cartoon, Avatar, and expressive emotion filters, blending product-facing impact with scalable engineering. His background includes leading ML teams at AI Factory and developing mobile-first OCR and CV pipelines in a stealth startup, with hands-on expertise in CNNs, GANs, model distillation and quantization for on-device inference. Pavel combines people management and hiring with low-level deployment skills (C++/Objective-C) and end-to-end model training in TensorFlow, making him comfortable across research, production, and performance-constrained environments. An under-the-radar strength is his track record of turning cutting-edge ML techniques into lightweight, real-time mobile experiences that drive viral consumer engagement.
11 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Mathematics and Computer Science, Bachelor's degree, Mathematics and Computer Science at Saint Petersburg State UniversityData Mining, Data Mining at Computer Science Center
Github Skills (3)
dictionary7
python4
data-structures1
Github contributions (5)
cscenter/SInGe
Oct 2014 - May 2015
Contributions:66 commits, 2 pushes in 6 months
dictionarypythonincrementalfaster
PavelSavchenkov/competitive-programming
Aug 2018 - Mar 2025
Contributions:30 pushes, 1 branch in 6 years 8 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.