Alexander Cheparukhin
Machine Learning Engineer
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolAlexander Cheparukhin is a Senior Software Engineer specializing in ML research with a decade of experience building production-grade systems in recommendation, ads causal modelling, computer vision and information retrieval. He has led data teams and end-to-end data platforms—designing feature stores, model-based feed ranking, experimentation and MLOps—at early-stage startups and large tech firms alike. At Meta he developed a novel causal loss and RCT-based data collection for conversion lift modeling, while at Locals.org he hired and shaped the personalization function and analytics stack. His background spans low-latency C++ systems, Python/PyTorch research code and scalable data engineering, reflecting a rare blend of research rigor and production engineering. Based in London, he combines strong product collaboration with hands-on implementation and a track record of turning research ideas into deployed ML systems.
10 years of coding experience
12 years of employment as a software developer
Master of Science - MS, Space physics, Master of Science - MS, Space physics at Moscow Institute of Physics and Technology (State University) (MIPT)Computer Science, Computer Science at Yandex School of Data Analysis
Russian, English
Github Skills (35)
reflection10
compile-time9
python9
tostring9
machine-learning9
gpu9
deep-learning9
cpp9
numpy8
neural-network8
tensor7
java7
autograd7
gpu-acceleration7
hive6
Programming languages (4)
Github contributions (5)
cheparukhin/better-enums
Jun 2016 - Jul 2016
Contributions:10 pushes in 23 days
to-stringcompile-timestringheadersingle-header
localsorg/tecton-terraform-setup
Aug 2021 - Aug 2021
Contributions:5 pushes in 2 days
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.