Summary
David Ascienzo is Head of ML Engineering with a PhD in Physics and nine years turning scientific rigor into production-grade machine learning and data platforms. He blends deep modeling experience—reinforcement learning, complex networks, PyTorch/TensorFlow—and broad engineering fluency across Python, Go, TypeScript, BigQuery/Snowflake, and MLOps tooling to ship reliable, scalable solutions. His career spans research-driven experimental design to leadership roles at Shipt, LendingTree, and startups, demonstrating an ability to move projects from prototyping to operational deployment. Former academic researcher with multiple first-author publications, he brings a habit of careful measurement and numerical modeling that often surfaces subtle domain insights others miss. Based in New York, he pairs hands-on implementation with team-level strategy, mentoring engineers to close the gap between applied math and business impact.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at The Graduate Center, City University of New York
Master of Arts - MA Physics, Master of Arts - MA Physics at Hunter College
English