Sadrach Pierre is an applied AI/ML leader and former academia-trained chemical physicist who brings a decade of experience turning statistical science into production-ready machine learning solutions across finance, pharmacology, and retail. As VP Applied AI/ML at JPMorgan Chase and founder of DataFabrica, he combines enterprise-scale model deployment with hands-on synthetic data generation for healthcare and retail use cases. He has a proven track record building high-accuracy models—such as ensemble CatBoost and Prophet time-series forecasts with MAPE <10% and churn classifiers with 85% precision—and optimizing large-scale pipelines using PySpark and Databricks. A published researcher with deep simulation and computational chemistry roots, he uniquely bridges rigorous scientific methods and practical ML engineering. He also authors technical content for O’Reilly and Built In, translating complex techniques into accessible tutorials and course material. Based in New York, he leverages cross-domain experience to design trustworthy models for high-stakes business decisions.
8 years of coding experience
11 years of employment as a software developer
Midwood High School
Doctor of Philosophy - PhD Chemical Physics, Doctor of Philosophy - PhD Chemical Physics at Cornell University
Bachelor of Science (B.S.) Inorganic Chemistry, Bachelor of Science (B.S.) Inorganic Chemistry at Brandeis University
Contributions:193 commits, 336 pushes, 1 branch in 7 days
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Sadrach Pierre - Vice President Applied AI ML Lead at O'Reilly