Aksh Garg in

Aksh Garg

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Head of Evaluation at Mercor
📍 Palos Verdes Peninsula, California, United States

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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Experience
4 Years
Current Role
Head of Evaluation
Job Level
Mid-senior
Location
Palos Verdes Peninsula, California, United States
Personality Overview

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Communication Style
Decision Approach
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Priorities

Topics Aksh cares about

AI Model Evaluation
As the Head of Evaluation at Mercor, his core professional focus is on leading a 15+ person team dedicated to assessing frontier AI models.
Efficient Hiring
He has publicly shared his belief that real-world work trials provide more signal in the hiring process than traditional coding problems.
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Career

Work history

2024
Head of Evaluation
Mercor
2024 - 2024
Quantitative Researcher
Point72
2023 - 2023
Machine Learning (Vision)
Tesla
2023 - 2023
Corporate Development
The D. E. Shaw Group
2023 - 2023
Researcher
Stanford Artificial Intelligence Laboratory (SAIL)
In the press

Media appearances

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Education
Master's degree
Stanford University
Bachelor's degree
Stanford University
Social presence
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Behavioral profile

DISC profile (public)

DISC behavioral profile

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