Hey, I'm Rohit.

CS + DS @ Berkeley

I build at the intersection of software, health, and human performance.

Right now, I'm working on reducing unwanted side effects from popular GLP medications.

  1. Started with middle school hackathons and a crusty Java textbook, and slowly worked my way up to USACO Platinum (Top 1%).
  2. Represented the U.S. at an International Programming Contest (AGM IX).
  3. Spent time in research, including coauthoring 2 IEEE papers with Prof. Darko Marinov's UIUC research group.
  4. Was lucky to be the youngest Data Scientist at AT&T, where I built revenue intelligence tools touching $100M+.
  5. Led AI Agent development at Swif.ai (YC 2020), focused on agentic onboarding and offboarding automation.
  6. I've had a long-running interest in biological optimization, from cognition and recovery to health span and personalized medicine.
  7. Now combining technical depth with a very unfortunate 2am PubMed habit to make medicine feel less like trial-and-error.

Papers

  1. Coauthored with GlueTest: Testing Code Translation via Language Interoperability 40th International Conference on Software Maintenance and Evolution, New Ideas and Emerging Results (ICSME NIER 2024), pages 612–617, Flagstaff, AZ, October 2024 PDF
  2. Coauthored with Prof. Darko Marinov on "Mini-Crowd Research: A Collaborative Model for Involving Beginner Researchers in Software Engineering Research" International Conference on Software Engineering: ICSE-SEET 2024, submission #119.
  3. Acknowledged in Prof. Darko Marinov's Publication: Reproducing and Improving the BugsInPy Dataset 23rd IEEE International Working Conference on Source Code Analysis and Manipulation, Engineering Track (SCAM 2023), Bogota, Colombia, October 2023. PDF
  4. Rohit S. Naidu, Effective Hedging Strategy for Investment Trading Firms in Response to US Oil Price Volatility. Curieux Academic Journal, April 2023, Page 78. PDF