Summary
David Borrelli is a Senior Machine Learning Engineer with eight years of experience combining deep technical ML skills and product-focused leadership across Fortune 100 healthcare, startups, and energy ventures. He holds a Ph.D. in Chemical Engineering from MIT and has co-founded two clean-energy startups, applying scientific rigor to commercial strategy and IP development. At Humana and DoorDash he has led end-to-end ML efforts—wrangling large claims and clickstream datasets, deploying Spark/Databricks models, and running A/B tests and multi-armed bandits—while mentoring small teams. His toolkit spans Python, Spark, KQL, NLP, and experiment design, and he brings a rare blend of domain expertise in healthcare and renewable energy with hands-on model deployment experience. Notably, he translated lab-scale polymer coating R&D into viable product and business cases, demonstrating an uncommon ability to move technologies from bench to market.
8 years of coding experience
17 years of employment as a software developer
Ph.D. Chemical Engineering, Ph.D. Chemical Engineering at Massachusetts Institute of Technology
B.S. Chemical Engineering minors in: Mathematics Chemistry Materials Science, B.S. Chemical Engineering minors in: Mathematics Chemistry Materials Science at University of Rochester