Shiv Sundram
PhD Candidate (Computer Science)
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolShiv Sundram is a software engineer and PhD candidate in computer science at Stanford with 12 years of experience building high-performance systems, compilers, and ML-enabled pipelines. He has production-hardened distributed and GPU-accelerated software at Lawrence Livermore (scaling molecular dynamics to >25k GPUs), optimized perception/inference stacks at Cruise, and contributed to cloud and cluster-computing projects at Microsoft. His research blends systems and compilers for HPC and ML under Fred Kjølstad, reflecting a practical focus on turning research into scalable, real-world code. Based in the Bay Area and self-described as a "vagabond" on GitHub, Shiv pairs deep applied math/CS training from UC Berkeley with hands-on experience across industry and national lab environments.
12 years of coding experience
7 years of employment as a software developer
Bachelor of Arts - BA, Applied Mathematics, Bachelor of Arts - BA, Applied Mathematics at University of California, BerkeleyHinsdale Central High School
Github Skills (11)
foundation9
scale8
cuda8
gpu7
python7
mpi7
machine-learning7
gpu-acceleration6
chrome5
chrome-extension5
numpy4
Programming languages (3)
Github contributions (5)
shivsundram/renderer2.0
May 2016 - Jun 2020
Contributions:1 PR, 14 pushes, 2 branches in 4 years 1 month
next-gengenraytracer
shivsundram/researchdocs
Dec 2015 - Nov 2020
Contributions:7 pushes, 1 branch in 5 years
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