Apoorva Dixit
Machine Learning Software Engineer at Google
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolApoorva 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-ChampaignMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Stanford University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (5)
queue4
java3
microservices2
forking1
cpp1
Programming languages (1)
Github contributions (5)
aholler2/CookUp
Mar 2018 - Apr 2018
Contributions:37 commits in 1 month
ApoorvaDixit/ApoorvaDixit.github.io
Jan 2017 - Jul 2018
Contributions:10 pushes, 2 branches in 1 year 6 months
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