Summary
Ezzeri Esa is a founding engineer and versatile software engineer in San Francisco with 11 years of experience building ML systems for payments, lending, and large-scale data infrastructure. He has delivered end-to-end ML workflows—feature stores, training, and inference—and optimized petabyte-scale pipelines in production, reducing latency and operational load across fraud and analytics use cases. At companies from Square to Step and Airtable he shipped measurable impact (e.g., halving fraud losses and cutting ETL time in half) and rebuilt evaluation and execution frameworks to reduce production drift. A two-time Recurse Center participant and active open-source contributor, he pairs deep technical rigor from Cambridge mathematics with a practiced knack for making complex, disorganized information beginner-friendly. Recently he’s focused on people skills and tight-knit, synchronized teams while founding a stealth startup that combines his strengths in back-end, ML, and data engineering.
11 years of coding experience
8 years of employment as a software developer
B.A. (Hons) / M. Math. Mathematics, B.A. (Hons) / M. Math. Mathematics at University of Cambridge
Special Student / Teaching Fellow, Special Student / Teaching Fellow at Harvard University
Cuisine de Base, Cuisine de Base at Le Cordon Bleu Paris