Summary
Thomas Miano is a Data Science Manager and Senior Full-Stack Machine Learning Engineer with 11 years of cross-disciplinary experience and 6+ years focused on ML across finance, public health, and healthcare. He architects and ships production ML systems—spanning predictive analytics, computer vision, NLP, and audio processing—while leading teams in engineering, MLOps, and DevOps. His recent roles include senior data science at Nike Valiant Labs and managing data science at General Atomics Integrated Intelligence, reflecting a mix of industry innovation and mission-driven work. A former Harvard Assembly fellow in AI ethics and governance, he blends technical depth with attention to responsible AI and research-informed product decisions. Outside of work he draws creative perspective from interests in music, art, games, and basketball, which inform his collaborative and user-centered approach.
11 years of coding experience
10 years of employment as a software developer
Master of Science (M.S.), Data Science, Master of Science (M.S.), Data Science at University of Virginia