Summary
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.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Transportation Systems, Doctor of Philosophy - PhD Transportation Systems at Georgia Institute of Technology
Bachelor of Arts and Science Mathematics and History, Bachelor of Arts and Science Mathematics and History at McGill University
French, English, Spanish