Simon Berrebi
Seattle, Washington, United States
Summary
👤
SeniorSimon 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.
9 years of coding experience
Github Skills (13)
python9
statistics9
gtfs8
machine-learning8
data-analysis8
data-science8
java7
transit7
scikit-learn7
system-information5
ggplot5
realtime4
r3
Programming languages (3)
Github contributions (5)
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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