Summary
Ilan Ben-bassat is a Senior Applied Scientist with 8+ years of experience turning large, messy datasets into production-grade ML products across finance, cybersecurity, and media. He holds a PhD in Computer Science focused on computational methods for deep-sequencing data and blends rigorous research (Tel Aviv University, Caltech) with hands-on engineering from IBM to Amazon. At Pagaya he built a new asset-class underwriting model that funded nearly $100M annually, and more recently led LLM research and recommender innovations for Yahoo and Prime Video Sports. Skilled in algorithm design, statistics, transfer learning and deployment monitoring, he’s comfortable taking projects from ideation to live systems and mentoring cross-functional teams. A less obvious strength is his long arc from low-level C++ engineering and graph algorithms to cutting-edge deep learning, giving him rare depth across the stack.
8 years of coding experience
18 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Tel Aviv University