Rohan Jhunjhunwala is a quantitative developer with a decade of experience building high-performance computational systems and ML toolchains, currently at D. E. Shaw after designing a distributed computational-graph framework for risk analysis at Citadel. A UC Berkeley EECS graduate, he combines low-level C++ compiler work and on-chip visualization from SambaNova with practical production engineering—optimizing performance, uncovering complex bugs, and instrumenting systems for observability. He has applied his skills across domains from space systems at Johnson Space Center to medical research, demonstrating an ability to translate domain science into scalable software. Curious about unconventional integrations, he often bridges hardware and software stacks to expose internal state and accelerate debugging and analysis.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree Electrical Engineering and Computer Science, Bachelor's degree Electrical Engineering and Computer Science at UC Berkeley College of Engineering
High School Diploma, High School Diploma at Malvern Preparatory School
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