Carl Case
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolCarl Case is a Member of Technical Staff with a decade of experience building scalable AI and systems software across premier research and industry labs. He has progressed from research roles at Google and Baidu to senior architecture at NVIDIA, tech leadership at Sift Science, and recent engineering roles at Augment and OpenAI, sharpening both model-centric and systems-level expertise. A Stanford-trained computer scientist, he bridges ML research and production engineering, delivering performance-sensitive solutions on GPU platforms and distributed infrastructure. Colleagues rely on him for pragmatic architecture decisions that translate research advances into deployable systems—an underappreciated strength given his background in both deep research and hands-on production shipping.
10 years of coding experience
11 years of employment as a software developer
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at Stanford University
Github Skills (44)
pytorch10
python10
data-science10
mixture-of-experts10
acceleration10
machine-learning10
pytorch-lightning10
temporal-data10
numpy10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
gpu10
autograd10
Programming languages (3)
Github contributions (5)
augmentcode/TransformerEngine
Oct 2023 - Oct 2024
Contributions:2 PRs, 7 pushes, 3 branches in 1 year
cbcase/nanoGPT
May 2023 - Oct 2024
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Contributions:6 pushes, 5 branches in 1 year 5 months
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