Anton Protopopov
Machine Learning Engineer at Meta
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolAnton Protopopov is a Machine Learning Engineer based in London with 11 years of experience building production ML systems across adtech, gaming, finance and large-scale consumer platforms. He currently applies advanced ML at Meta after leading teams and models at Aarki and Plarium, combining hands-on model development with team leadership and deployment experience. His background as an engineer-mathematician from Rocket and Space Corporation Energia and degrees from MIPT underpin a strong foundation in applied mathematics and robust engineering. Anton contributes to open-source tooling for customer lifetime value modeling—enhancing the popular lifetimes Python library with Python 3 compatibility, plotting utilities and model persistence features—demonstrating attention to reproducibility and analytics. He’s comfortable taking models from research to production and has a track record of improving observability and model durability in high-throughput environments. Notably, his career blends aerospace-grade rigor with product-driven ML delivery, making him adept at solving both theoretical and operational challenges.
11 years of coding experience
12 years of employment as a software developer
Bachelor's Degree, Applied Mathematics and Physics, Bachelor's Degree, Applied Mathematics and Physics at Moscow Institute of Physics and Technology (State University) (MIPT)
Russian, English
Stackoverflow
31,082reputation
21.6mreached
397answers
11questions
pandas
top-1%
dictionary
top-5%
logging
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dataframe
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counter
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numpy
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Github Skills (28)
python10
data-science10
model-driven10
statistics10
pandas10
dataframe10
model-building10
csv10
logging10
modeling10
model-driven-development10
data-visualizations9
datetime9
pytest9
9
Programming languages (6)
Github contributions (5)
CamDavidsonPilon/lifetimes
May 2017 - Oct 2019
Lifetime value in Python
Role in this project:
Data Scientist
Data ScientistContributions:58 commits, 25 PRs, 31 pushes in 2 years 4 months
Contributions summary:Anton primarily contributed to updating and enhancing utility functions within the `lifetimes` library, specifically for Python 3 compatibility. Their changes included adapting the code to ensure that all pytest tests function correctly in both Python 2 and Python 3 environments. Furthermore, they added plots for the cumulative and incremental transactions, along with plots for dropout and transaction rates. Additionally, the user incorporated functionality for loading and saving models using the `dill` package, demonstrating a focus on model persistence.
lifetimestatisticspythondata-science
aprotopopov/lifetimes
May 2017 - Jul 2017
Contributions:51 pushes, 1 branch in 1 month
lifetimestatisticspython
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