Shagun Rawat
Software Engineer at Google
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolShagun Rawat is a software engineer with a decade of experience applying machine learning and statistical methods to large-scale consumer products, currently working on image search ranking and agentic commerce initiatives at Google. He brings a rare blend of academic rigor—a PhD in Applied Mathematics from UC Merced focused on stochastic differential equations and time-series estimation—and product-grade engineering from multiple internships and roles at Google and Microsoft Research. His work spans real-time prediction systems (Firebase Predictions) to personalization and ranking at scale, consistently translating probabilistic models into services used by billions of daily users. Earlier research includes scalable inference for spatio-temporal processes and published work in major venues, and he has hands-on systems experience from sensor networks to simulation-driven evaluation of matchmaking models. Based in Mountain View and trained at IIT Guwahati, he pairs deep math instincts with pragmatic software delivery, often optimizing online scalability and latency in subtle ways that improve user-facing metrics.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Technology (B.Tech.), Mathematics and Computer Science, Bachelor of Technology (B.Tech.), Mathematics and Computer Science at Indian Institute of Technology, GuwahatiDoctor of Philosophy (PhD), Applied Mathematics, Doctor of Philosophy (PhD), Applied Mathematics at University of California, Merced
English, Hindi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (4)
stochastic9
equation9
statistical-inference8
inference4
Github contributions (5)
hbhat4000/sdeinference
Mar 2016 - Jun 2018
Contributions:171 commits, 148 pushes in 2 years 3 months
equationinferencestatisticalsdestatistical-inference
shagunrawat/ProjectReports
Dec 2016 - Apr 2017
Contributions:1 push, 1 branch in 4 months
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