Brian Keene is a machine learning engineer with a decade of experience specializing in Python (NumPy, PyTorch), C++, and GP-GPU compute (CUDA, Metal), focused on bringing efficient deep learning to resource-constrained platforms. With an MS in Molecular Engineering from the University of Chicago and a background that includes engineering roles at Apple and technical staff at Argmax, he blends rigorous scientific training with production ML engineering. He currently works on accelerating and shrinking the footprint of deep learning on iOS, translating research-grade models into optimized, on-device solutions. Based in New York, he is comfortable across low-level systems and high-level model work, and is known for squeezing performance out of constrained hardware while keeping models practical for real-world apps.
9 years of coding experience
O'Dea High School
Bachelor of Science (B.S.), Bachelor of Science (B.S.) at University of Notre Dame
Master of Science - MS, Master of Science - MS at University of Chicago
Contributions:2 PRs, 30 pushes, 2 branches in 11 months
pythonpython3python-projects
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