Alex Polozov is a research-driven software engineer and Member of Technical Staff with 11 years of experience building generative AI for software engineering, currently focused on asynchronous coding agents and developer-facing code models. He has led research and engineering efforts at Google DeepMind, Google, Microsoft, X, and Reflection AI, contributing to projects like Jules, Gemini pretraining, and Code Tips that reached millions of developers. A Ph.D. from the University of Washington, Alex’s academic work in program synthesis and programming-by-example underpins practical product innovations such as PROSE-powered features across Microsoft products. He publishes across ML, PL, NLP, and HCI venues (NeurIPS, ICLR, OOPSLA, ACL) and combines rigorous evaluation of agentic coding LLMs with production-quality engineering. Notably, he pairs deep theoretical expertise with hands-on impact—optimizing code data quality for large-scale pretraining while shipping interactive tools used in IDEs and cloud notebooks. Based in New York, he enjoys practical research that immediately translates into products used by millions of developers.
11 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of Washington
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Alex Polozov - Member Of Technical Staff at Reflection AI