Aksh Garg is the Head of Evaluation at Mercor, where he leads a large engineering team focused on frontier AI evaluations. His background includes quantitative research at Point72, machine learning at Tesla, and research at Stanfords AI Lab. He holds both Masters and Bachelors degrees from Stanford University.
Outside of his primary role, Aksh is passionate about hands-on innovation, frequently participating in hackathons to build proof-of-concept AI systems. He explores the application of AI in specialized fields, such as creating tools for legal negotiation prep and designing infinitely scalable distributed systems for machine learning models.
Unique fact: Aksh is a two-time Intel International Science and Engineering Fair (ISEF) Finalist and a two-time National Science Foundation (NSF) REU grant recipient.
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