Summary
Apoorva Dixit is a machine learning software engineer with nine years of experience building privacy-forward ad infrastructure and production ML systems, currently on Google’s ML team in Sunnyvale. She holds a BS in Computer Science from UIUC and an MSCS from Stanford, where she also served as a student researcher in SAIL and led graduate TAs for algorithms courses. At Google she designed FLEDGE-compliant enforcement and core debugging tools that saved substantial revenue and sped incident resolution, and at Waymo she integrated realism-sensitive metrics into simulation workflows. Her background blends deep systems engineering with applied ML research, particularly around privacy-compliant data use in advertising. Known for translating research ideas into reliable production tooling, she’s equally comfortable mentoring course staff and shipping large-scale infra.
9 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at University of Illinois Urbana-Champaign
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University