Aksh Garg
Questioner · DISC type cAksh 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.
Read the full overview →How Aksh shows up
They generally do not appreciate an overfriendly approach and prefer to stay to-the-point. They prefer to do thorough analysis of any situation. While they don't hesitate to ask questions, they are generally risk-averse and tend to be late adopters.
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Calculativeness (C)
Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
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