George Hotz is a founder and self-taught engineering leader with 17+ years building low-level systems, robotics, and machine learning—best known for founding comma.ai and tinygrad to push autonomous driving and minimalist ML tooling. He combines embedded firmware and hardware work (panda, openpilot) with vision and RL research (comma10k, twitchslam, ai-notebooks), showing a rare full-stack fluency from microcontrollers to model training. George has a track record of shipping production automotive software used across hundreds of cars and of optimizing tiny, fast ML runtimes that aim to “commoditize the petaflop.” Comfortable operating contrarian and direct, he monetizes scarce access pragmatically (paid meetings, selective speaking) and runs lean teams focused on real-world autonomy. His background includes security and reverse-engineering roots (QIRA, early hacker work) and quick experimental science (corona genomics work), reflecting an appetite for high-impact, unconventional projects. Based in San Diego, he blends entrepreneurial grit with deep technical craft and a tendency to build open-source leverage rather than conventional corporate ladders.
17 years of coding experience
6 years of employment as a software developer
Yea I wasn't getting one of those Bioinformatics, Yea I wasn't getting one of those Bioinformatics at Rochester Institute of Technology
Bachelor of Science (BS) I think Computer Science, Bachelor of Science (BS) I think Computer Science at Carnegie Mellon University
You like pytorch? You like micrograd? You love tinygrad! ❤️
Role in this project:
Backend Developer
Contributions:5 releases, 1455 reviews, 1396 commits in 2 years 3 months
Contributions summary:George primarily worked on fixing and improving the code within the tinygrad project. Their commits focused on performance optimizations by addressing issues related to index operations and tensor operations. Furthermore, the user made efforts towards improving the codebase by addressing type-related issues and updating several test functions for accuracy. They also introduced a number of new functionalities and improved existing logic for operations related to matrix multiplication within the DSP backend of tinygrad, demonstrating their efforts towards improving the core functionality and performance of the project.
Contributions:63 commits, 12 PRs, 60 pushes in 9 months
Contributions summary:George's contributions focused on reverse engineering the SARS-CoV-2 virus, evidenced by the analysis of genomic data. They created scripts to download and process viral sequences from NCBI, translate RNA sequences into protein sequences, and annotate the different protein components of the virus, including spike glycoprotein and nucleocapsid phosphoprotein. They also worked on protein structure modeling using OpenMM, and explored the code of a vaccine.
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