Rohin Manvi
PHD Student at University of California, Berkeley
Los Angeles Metropolitan Area United States
Summary
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Senior🎓
Top SchoolRohin Manvi is a PhD student and machine learning scientist based in the Los Angeles area with eight years of industry and research experience spanning Stanford, Berkeley, and startups. He has published first-author papers at ICLR 2024 and ICML 2024 on large language models and has applied LLM research to autonomous vehicles and compact reasoning models. At Liquid AI he focused on training small, concise reasoning models, and he continues to bridge cutting-edge research with engineering practice through roles at SAIL and internships at Meta and Lacework. Rohin’s background blends rigorous academic training (BS/MS from Stanford, PhD work at Berkeley) with practical ML+Kubernetes and product-facing experience. He often works on making large-model capabilities efficient and deployable, favoring compact architectures that retain strong reasoning performance.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of California, BerkeleyMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Stanford UniversityProgramming languages (2)
Github contributions (5)
rohinmanvi/LLaMA-Supervised-Finetuning
Apr 2023 - Jul 2023
Code and documentation to train Stanford's Alpaca models, and generate the data.
Contributions:703 pushes in 3 months
rohinmanvi/Resume
May 2019 - Feb 2021
Contributions:14 pushes, 1 branch in 1 year 9 months
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