Dmitry Efimov
Senior Manager, Applied Science, Forecasting At Amazon Supply Chain
New York, New York, United States
Summary
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Senior🎓
Top SchoolDmitry Efimov is a machine learning engineering leader with 12–15 years of experience building and shipping production ML systems, currently leading applied science for forecasting at Amazon Supply Chain. He has a rare blend of deep theoretical training (PhD in Mathematics) and hands-on industrial expertise, driving probabilistic, attention-based and foundation forecasting models used across retail, third-party sellers, and Whole Foods. Dmitry founded a next-generation foundation forecasting model trained on massive synthetic and real-world time series that outperforms existing baselines in benchmarks and real decision-making. Previously he led ML centers of excellence at American Express, produced impactful risk and fraud models, and earned Kaggle Grandmaster distinctions across diverse competitions. Known for modernizing experimentation and MLOps to enable rapid reproducibility and large-scale evaluation, he combines strategic vision with the ability to execute distributed GPU/CPU training and big-data pipelines. A former academic with a patent in forecasting, he frequently bridges novel research methods and pragmatic business outcomes.
12 years of coding experience
18 years of employment as a software developer
Lomonosov Moscow State University
English
Github Skills (52)
python9
machine-learning9
gpu9
deep-learning9
mining9
numpy8
gradient8
portable8
neural-network8
tensor7
xgboost7
java7
nano7
acceleration7
distributed-systems7
Programming languages (4)
Github contributions (5)
diefimov/avito_context_click_2015
Aug 2015 - May 2018
Contributions:1 push, 1 branch, 1 comment in 2 years 9 months
diefimov/amazon_employee_access_2013
Aug 2013 - Aug 2013
Contributions:28 commits in 3 days
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