Emmanuel Ameisen has spent his career turning machine learning ideas into products that work in the real world. As a machine learning engineer at Stripe, he builds and deploys ML systems at scale. Before that, he implemented and deployed predictive analytics and machine learning solutions for Local Motion and Zipcar, gaining early hands-on experience shipping models to production.

Emmanuel also led Insight Data Science’s AI program, where he directed more than a hundred machine learning projects. Guiding that many efforts across industries gave him a broad view of the patterns, and pitfalls, that separate successful ML products from stalled ones, experience he distilled into his book Building Machine Learning Powered Applications, published by O’Reilly.

He holds graduate degrees in artificial intelligence, computer engineering, and management from three of France’s top schools, a foundation that spans both the technical and business sides of building with AI.