Simon Berrebi

Machine Learning Engineer at Stripe

Seattle, Washington, United States
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Summary

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Senior
🎓
Top School
Simon Berrebi is a machine learning engineer with eight years of experience building and shipping deep learning systems that solve real-world operational problems. He has commercialized transit ETA and real-time prediction models used by hundreds of thousands of passengers and led production ML efforts at Convoy and Stripe, focusing on payment fraud, recommendations, and real-time arrival predictions. His background spans PhD-level transportation systems research, operations research, and language modeling, enabling him to bridge rigorous modeling with product-driven engineering. Simon combines founder-level hustle from running a transit startup with hands-on production incident management and a track record of measurable impact—improving late-detection lead time by 46% and boosting recommendation accuracy by 28%. Based in Seattle, he thrives on translating ambiguous customer pain points into end-to-end AI solutions and leading cross-functional teams to deploy them at scale.
code8 years of coding experience
job6 years of employment as a software developer
bookDoctor of Philosophy - PhD Transportation Systems, Doctor of Philosophy - PhD Transportation Systems at Georgia Institute of Technology
bookBachelor of Arts and Science Mathematics and History, Bachelor of Arts and Science Mathematics and History at McGill University
languagesFrench, English, Spanish
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Github Skills (14)

python9
machine-learning9
statistics9
gtfs8
transit8
data-analysis8
data-science8
scikit7
java7
scikit-learn7
realtime5
r-package4
system-information3
visualization2

Programming languages (3)

JavaRPython

Github contributions (5)

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simonberrebi/hello-world

Sep 2017 - Sep 2017

Contributions:2 PRs, 3 pushes, 3 branches in 1 day
TheTransitClock/GTFS-ride

Jan 2021 - Jan 2021

Contributions:1 PR, 4 pushes, 1 branch in 1 day
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Simon Berrebi - Machine Learning Engineer at Stripe