Attended ITA Workshop in San Diego
Presented our ongoing work on LLM reasoning.
PhD Student in Computer Science, CU Boulder
Hi! I am Amit Kiran Rege, a PhD student in Computer Science at the University of Colorado Boulder advised by Claire Monteleoni.
My research is in theoretical machine learning broadly construed, especially problems in AI safety and control. My recent focus is applying reinforcement learning theory to LLM post-training, while maintaining interests in foundational RL theory and the foundations of interpretability.
I am also interested in startups and early-stage venture through my role as an Associate at the Deming Center Venture Fund, where I help source and evaluate early-stage Colorado startups.
Outside work, I enjoy soccer, cricket, music, and following current affairs.
I am on the job market in Summer/Fall 2026.
Quick highlights for talks, releases, paper milestones, and travel.
Presented our ongoing work on LLM reasoning.
Presentation venue: Tangier, Morocco.
Conference location: Los Angeles, CA.
Featured papers with links to PDFs, code, slides, and project pages.
Accepted at the Twenty-Ninth International Conference on Artificial Intelligence and Statistics.
Accepted oral presentation at the 8th Annual Learning for Dynamics and Control Conference.
Accepted at the 8th Annual Learning for Dynamics and Control Conference.
Long-form technical notes and research explainers.
This is a placeholder post for the new Astro-based website.
Read postA sample post format for future ML notes and technical writeups.
Read postInteractive prototypes and research engineering experiments.
Describe what users can try and why the demo is technically interesting.
PyTorch, Gradio, CUDA
Open projectUse this for libraries, benchmark suites, or evaluation tools.
Python, JAX, Docker
Open projectOlder experiments can stay visible with clear status labels.
Rust, WebAssembly
Open projectKeep CV/Resume files in `public/assets/docs/` and update links in `src/data/profile.json`.