Kevin Black
Member Of Technical Staff at Physical Intelligence
Berkeley, California, United States
Summary
🤩
Rockstar🎓
Top SchoolKevin Black is a Member of Technical Staff and PhD student in AI based in Berkeley with a decade of industry experience building applied machine learning and embedded systems. He combines hands-on firmware and backend engineering from early internships at Silicon Labs with production ML and distributed training work at Bloomberg and NASA JPL. As an undergraduate he led the Seeker team at the Texas Spacecraft Laboratory, producing a synthetic-data-to-deployment computer vision pipeline that flew on orbit and continues to inform NASA-funded pose-estimation research. Currently at Physical Intelligence, he focuses on bringing research-grade AI into robust systems, drawing on prior product and platform internships at Asana and elsewhere. His background spans the full stack of ML system development—from data generation and model training to Kubernetes controllers and spacecraft deployment—making him adept at translating research into operational software.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at University of California, BerkeleyBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at The University of Texas at AustinLiberal Arts and Science Academy of Austin
English
Github Skills (151)
python10
pylance9
dtype9
nlp9
computer-vision9
recommendation-system9
language-server-protocol9
diffusion-models9
gpu9
deep-learning9
pytorch9
contenteditable9
autodiff9
openvino9
machine-learning9
Programming languages (8)
Github contributions (5)
kvablack/kvablack.github.io
Sep 2019 - Feb 2025
Contributions:47 pushes, 4 branches in 5 years 6 months
autognc/opat-js
Jul 2020 - Aug 2020
Contributions:24 commits, 22 pushes, 4 branches in 11 days
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