Rishi Verma is a software engineer based in Palo Alto with eight years of experience specializing in high-performance computing, systems optimization, and machine learning infrastructure. He has built low-latency trading systems and core backend tooling during internships at Hudson River Trading and Meta and now applies that expertise at Jane Street. His work combines deep C++ systems optimization—overhauling research code for 10x runtime improvements—with practical distributed systems experience like replaying 100+GB logs to test load balancing. A Stanford MS student in AI with a BS in Systems, he also brings teaching and research chops, from leading CS section instruction to proving research-level results in mathematical topology. Colleagues know him for squeezing extra performance out of existing systems and automating messy workflows into reproducible pipelines.
8 years of coding experience
5 years of employment as a software developer
High School Diploma, High School Diploma at Sycamore High School
Master of Science - MS Computer Science (AI), Master of Science - MS Computer Science (AI) at Stanford University
Contributions:2 pushes, 1 branch in 1 year 1 month
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