Mahesh Ramesh

Hello, I'm Mahesh!

M.S. Computer Science, University of Wisconsin-Madison

I am a masters student in computer science at UW-Madison, currently working on reinforcement learning generalization and scaffold robustness with Manolis Vlatakis and Aniket Rege. I am broadly interested in research in cooperative multi-agent reasoning, reinforcement learning, and evaluation of large language models.

I am also currently interning at Kalpa Labs (YC F25), working on large-scale generalized audio model training. Previously, I was a Quant Researcher at JP Morgan Chase and interned at WorldQuant. I received a bachelor's degree in Chemical Engineering at IIT Madras.

I am currently looking for full-time roles as a machine learning researcher / engineer. Please get in touch at mram18900[at]gmail[dot]com!

News

Publications

  • Sparks of Cooperative Reasoning: LLMs as Strategic Hanabi Agents
    Mahesh Ramesh, Kaousheik Jayakumar, Aswinkumar Ramkumar, Pavan Thodima, Aniket Rege, Emmanouil-Vasileios Vlatakis-Gkaragkounis
    ICML 2026
  • CuRe: Cultural Gaps in the Long Tail of Text-to-Image Models
    Aniket Rege, Zinnia Nie, Mahesh Ramesh, Unmesh Raskar, Zhuoran Yu, Aditya Kusupati, Yong Jae Lee, Ramya Korlakai Vinayak
    ICCV 2025 · CVPR DemoDiv Workshop (Oral)
  • MABViT: Modified Attention Block Enhances Vision Transformers
    Mahesh Ramesh, Aswinkumar Ramkumar
    Deployable AI Workshop, AAAI 2024 (Oral)

Education

  • University of Wisconsin-Madison Sep 2024 – May 2026
    M.S. Computer Science
  • Indian Institute of Technology Madras Jul 2019 – Jul 2023
    B.Tech Chemical Engineering

Experience

  • Kalpa Labs (YC F25) Feb 2026 – Present
    Machine Learning Intern, San Francisco
    Large-scale generalized audio model training; dense and MoE architectures.
  • JP Morgan Chase & Co Aug 2023 – Aug 2024
    Quantitative Research Analyst, Asset & Wealth Management
    Outlier-detection for risk sensitivities; product-risk rating framework.
  • WorldQuant LLC May 2022 – Jul 2022
    Quantitative Research Intern, Mumbai
    Alpha weighting modules in C++; constrained optimization for production portfolios.
  • Dassault Aviation — IIT Madras Jan 2022 – May 2023
    B.Tech Thesis
    VAE with attention for flight telemetry augmentation; presented at RBCDSAI 2023.

Competitions & Red Teaming

  • OpenAI GPTOSS-20B Red Teaming Hackathon — Honorable Mention (Top 20 / 611)
  • OpenAI Bio Bug Bounty — Participant in biological risk red-teaming program
  • Frontier Lab Red Teaming — Invited participant in an additional frontier model red-teaming program