Michelangelo D'agostino is a VP of Machine Learning with 13 years of experience translating physics-trained analytical rigor into high-impact AI products across finance, e-commerce, and enterprise. He has built ML functions from the ground up and led teams through multiple acquisitions (ShopRunner to FedEx, Tegus to AlphaSense), shipping production NLP/LLM features like generative summaries and the widely praised AskTegus chatbot. A former Obama 2012 analytics team member and postdoc physicist, he combines deep technical leadership with hands-on model and data engineering experience at companies including Grainger, Cameo, Civis, Braintree/Venmo, and Tegus. He also teaches and writes about data science, bringing clarity to complex topics for technical and non-technical audiences. Known for turning messy, real-world data into reliable ML systems, he favors pragmatic, production-first approaches to NLP, CV, and recommendation problems.
12 years of coding experience
17 years of employment as a software developer
PhD Physics, PhD Physics at University of California, Berkeley
Contributions:10 commits, 34 pushes, 1 branch in 1 year 5 months
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Michelangelo D'agostino - VP Of Machine Learning at Grainger