Jacob Hinkle is a Senior Software Engineer specializing in deep learning frameworks at NVIDIA with 12 years of experience bridging research and production ML systems. He transitioned from research scientist roles at Oak Ridge National Laboratory and the National Renewable Energy Laboratory, bringing applied domain expertise in bioengineering and computational science grounded by a PhD from the University of Utah and dual BS degrees in mathematics and physics. Jacob focuses on building performant, scalable ML infrastructure that moves algorithms from lab prototypes to GPU-accelerated production, informed by his background in scientific research. Based in Oak Ridge, he combines rigorous experimental methods with software engineering best practices, often translating complex modeling problems into robust code and tooling for large-scale compute environments.
12 years of coding experience
9 years of employment as a software developer
The University of Utah
Bachelor of Science (BS), Mathematics, Bachelor of Science (BS), Mathematics at Miami University
Image Registration and Computational Anatomy in PyTorch
Contributions:141 commits, 5 PRs, 45 pushes in 2 years 10 months
pytorchautoencoderwsideep-learninganatomy
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