Rajiv Sambharya
PhD Candidate In Mathematical Optimization
Berkeley, California, United States
Summary
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Senior🎓
Top SchoolRajiv Sambharya is a PhD candidate in Mathematical Optimization at Princeton with nine years of engineering experience bridging optimization, machine learning, robotics, and electricity markets. Based in Berkeley, he combines rigorous ORFE research with hands-on industry work—previously building intent-classification chatbots for millions of shoppers and full-stack routing infrastructure at Amazon. His background in EECS (UC Berkeley MS/BS) informs a systems-minded approach to scalable algorithms and real-world deployment. Known for translating theoretical optimization into production-ready ML and decision systems, he focuses on making complex models practical for high-impact domains like retail and energy.
9 years of coding experience
1 year of employment as a software developer
M.S., Electrical Engineering and Computer Science, M.S., Electrical Engineering and Computer Science at University of California, BerkeleyDoctor of Philosophy - PhD, Operations Research, Doctor of Philosophy - PhD, Operations Research at Princeton University
Github Skills (5)
solver10
quadratic-programming10
optimization9
python9
numerical-optimization9
Programming languages (2)
Github contributions (5)
rajivsambharya/rajivsambharya.github.io
Dec 2020 - Jun 2026
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:253 pushes in 5 years 6 months
templategithub-pages-templatemmistakesmistakesjekyll
ORF307/companion
Jan 2021 - Apr 2022
Supporting material for Princeton ORF307
Contributions:47 commits, 35 pushes in 1 year 2 months
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