Naveen Durvasula is a research-focused engineer combining a dual BS in Electrical Engineering & Computer Science and Business from UC Berkeley with a decade of research experience spanning market design, fair division, stochastic optimization, and online reinforcement learning. Currently a Research Intern co-advised at the University of Maryland and listed as a PhD student at Columbia, he translates deep mathematical foundations—topology and differential geometry—into practical AI and CS applications. His trajectory includes competitive programs like RSI at MIT and long-term collaborations with professors across algorithmic game theory and optimization, reflecting both early and sustained research maturity. Naveen’s profile reveals a rare blend of rigorous theory and applied experimentation, aiming to turn pure-math insights into systems that address real-world allocation and decision-making problems.
11 years of coding experience
Bachelor of Science - BS, Electrical Engineering and Computer Science, Bachelor of Science - BS, Electrical Engineering and Computer Science at University of California, Berkeley
Bachelor of Science - BS, Business Administration and Management, General, Bachelor of Science - BS, Business Administration and Management, General at University of California, Berkeley, Haas School of Business
High School Diploma, Mathematics, Science, and Computer Science Magnet Program, High School Diploma, Mathematics, Science, and Computer Science Magnet Program at Montgomery Blair High School
Contributions:71 pushes, 1 branch in 7 years 5 months
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