Arth Shukla is an incoming PhD student at UC San Diego advised by Dieter Fox, focusing on robot learning, reinforcement learning, and simulation to enable agents that solve real-world manipulation tasks with minimal supervision. With four years of industry and research experience, he has shipped production software using Go, Docker, React, and TypeScript and contributed to robotics research projects such as ManiSkill-HAB, ManiSkill3, and RFCL. He’s blended hands-on engineering and event leadership—building scalable competition infrastructure and a Java SDK for a 200-person AI contest that drew over 100 submissions. Comfortable moving between code and research, Arth has interned at Hillbot and Nefeli Networks, applying simulation-driven learning and backend integrations in production contexts. Based in San Diego, he pairs a perfect undergraduate GPA in Math-Computer Science with a pragmatic knack for turning complex systems into reliable tools.
4 years of coding experience
6 years of employment as a software developer
University of California, San Diego
Mathematics and Computer Science, 10-12, Mathematics and Computer Science, 10-12 at Cañada College
Computer Science, 10-12, Computer Science, 10-12 at College of San Mateo
Repository of AI resources from workshops hosted by ACM AI at UCSD 🧠
Contributions:2 reviews, 88 commits, 12 PRs in 7 months
pytorchacmdeep-learninghostedneural-networks
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Arth Shukla - PhD Student Reseacher at UC San Diego