Summary
Anne Spitz is a data-driven machine learning engineer with a decade of experience building and scaling production ML systems, currently a Member of Technical Staff at OpenAI after founding-team machine learning roles at Crossing Minds. She combines formal training in statistics, operations research and ML with hands-on big-data engineering—scaling models over 300M transactions with Spark and managing 350M-row retail forecasts on GCP. Comfortable across the full project lifecycle, Anne moves from opportunity identification through data collection, feature engineering, modeling and deployment, and has led industry projects end-to-end. Her background in product and project management (L'Oréal, Essilor) informs a pragmatic approach to stakeholder communication and automation of repetitive work. As an undergrad club president she also has web development and leadership chops, and she’s explicitly working toward a “full-stack data scientist” profile that bridges engineering, product and analytics.
10 years of coding experience
6 years of employment as a software developer
Master of Engineering - MEng Industrial Engineering and Operations Research, Master of Engineering - MEng Industrial Engineering and Operations Research at University of California, Berkeley
Science - Mathematics physics chemistry and computing, Science - Mathematics physics chemistry and computing at Classe Préparatoire aux Grandes Écoles Massena
Engineer's degree Industrial Engineering - Data Science - Operations Research - Innovation Management, Engineer's degree Industrial Engineering - Data Science - Operations Research - Innovation Management at École nationale des ponts et chaussées
French, English, Spanish, Chinese