Aaryan Singhal
Janitorial Services at None
Palo Alto, California, United States
Summary
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Rockstar🎓
Top SchoolAaryan Singhal is a Stanford computer science student specializing in systems and AI with four years of hands-on experience building high-performance ML and robotics systems. He contributes to SAIL projects that embed DSLs in CUDA for efficient kernel expression and develops scalable RL pipelines using graph convolutional networks for autonomous mobility. His internships span quant research at Jump Trading and embedded/full-stack/ML work at Tesla’s cell formation team, reflecting breadth across low-latency systems and applied machine learning. Earlier robotics research at Michigan produced a lightweight 2-DOF prosthetic wrist and gripper, underscoring a knack for merging hardware design with control and software. Based in Palo Alto, he balances deep systems work with practical engineering—an undergrad who ships production-minded research that maps complex AI workloads cleanly onto hardware.
4 years of coding experience
management and technology summer institute, management and technology summer institute at Jerome Fisher M&T Programonline advanced placement program Physics, online advanced placement program Physics at Northwestern Universitymath and physics, math and physics at Stanford Pre-Collegiate University-Level Online Math & Physicscs (bs: systems ms: ai), cs (bs: systems ms: ai) at Stanford University
English, Hindi, Spanish, Urdu
Github Skills (5)
language-model6
game-engine2
machine-learning2
python2
algorithms2
Programming languages (4)
Github contributions (5)
Aaryan0404/RL-EAMOD-Public
Mar 2023 - Nov 2023
Repository corresponding to the paper.
Contributions:1332 pushes in 8 months
Aaryan0404/madrona_escape_room_pixact
Jan 2024 - May 2024
co-optimizing the design and execution of ml architectures that enables end-to-end (raw pixel inputs, agent action outputs) rl algorithms to quickly learn effective game-playing policies on the madrona game engine
Contributions:38 PRs, 96 pushes, 3 branches in 4 months
game-enginemachine-learning
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