Rohan Kumar is a research-focused software engineer blending a decade of experience in quantum computing, distributed systems, and data engineering while based in San Francisco. Currently building a universal software validation layer at Greptile, he has contributed to quantum error correction and compilation through roles at JPMorgan Chase, EPiQC, and Oxford’s trapped-ion group. A UChicago alumnus and Yale PhD candidate in Computer Science, he pairs deep theoretical grounding with hands-on engineering—having led deployment of qiskit-superstaq and presented at MICRO. His work sits at the intersection of practical protocols for quantum hardware and scalable software stacks, with an unusual knack for translating academic research into production-ready toolchains.
10 years of coding experience
2 years of employment as a software developer
5050
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Yale University
International Baccalaureate, International Baccalaureate at UWC South East Asia
Bachelor of Science - BS, Computer Science (Honors), Mathematics | Minor in Physics, Bachelor of Science - BS, Computer Science (Honors), Mathematics | Minor in Physics at University of Chicago
A Pandas-inspired data analysis project with lazy semantics and query-offloading to SQLite
Contributions:3 reviews, 148 commits, 29 PRs in 1 year 1 month
querydata-analysispythonpolarsdataframes
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