Animesh Jha

I am a second-year MS student in Computer Science at Stanford. I am currently working with Prof. Sanmi Koyejo on Certified Machine Unlearning.

I recently completed an internship at Cartesia AI working with their Serving Infrastructure team. Previously, I was a Software Engineer at Rubrik (Core Infra Team). I completed my B.Tech in CSE at IIT Kharagpur in 2023.

My research interests lie in questions around efficiency, privacy, and robustness of systems. I have had a lot of fun exploring Optimization, Distributed Learning, Differential Privacy, Compilers, and Robotics through my various research experiences.

I helped create the daily word game References, do check it out!

I am actively looking for full-time roles starting Summer 2026.

Email  /  CV (Nov 2025)  /  Github  /  LinkedIn  /  Google Scholar

profile photo
Selected Publications
Certified Unlearning for Neural Networks
Anastasia Koloskova*, Youssef Allouah*, Animesh Jha, Rachid Guerraoui, Sanmi Koyejo
ICML 2025
[Paper] [Code]
RL-Guided Data Selection for Language Model Finetuning
Animesh Jha*, Harshit Gupta*, Ananjan Nandi *
{Constrained Optimization for Machine Learning, Reliable ML from Unreliable Data} Workshop NeurIPS 2025
[Paper]
Local NMPC on Global Optimised Path for Autonomous Racing
Dvij Kalaria*, Parv Maheshwari*, Animesh Jha*, Arnesh Kumar Issar*, Debashish Chakravarty, Sohel Anwar, Andres Tovar,  
OCAR Workshop, ICRA 2021
paper | code

Design and source code from Jon Barron