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I recently completed my MS in CS from Stanford, where I worked with Prof. Sanmi Koyejo on Machine Unlearning. I interned 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! Email / CV (June 2026) / Github / LinkedIn / Google Scholar |
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Animesh Jha*, Arpandeep Khatua*, Youssef Allouah, Sanmi Koyejo MemFM Workshop, ICML 2026 [Paper] |
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Anastasia Koloskova*, Youssef Allouah*, Animesh Jha, Rachid Guerraoui, Sanmi Koyejo ICML 2025 [Paper] [Code] |
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Animesh Jha*, Harshit Gupta*, Ananjan Nandi * {Constrained Optimization for Machine Learning, Reliable ML from Unreliable Data} Workshop NeurIPS 2025 [Paper] |
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A Assadi, I Chung, C Xiao, R Solomatin, A Jha, R Chand, S Singh, K Wang, A Khan, M Nasser, S Fong, P He, A Xiao, A Munot, A Shrivastava, A Gazizov, N Muennighoff, K Enevoldsen Under Review NeurIPS 2026 [Paper] [Code] |
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Dvij Kalaria*, Parv Maheshwari*, Animesh Jha*, Arnesh Kumar Issar*, Debashish Chakravarty, Sohel Anwar, Andres Tovar, OCAR Workshop, ICRA 2021 paper | code |
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Design and source code from Jon Barron |