Jacob Hinkle

Senior Software Engineer, Deep Learning Frameworks at NVIDIA

Oak Ridge, Tennessee, United States
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Summary

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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.
code12 years of coding experience
job9 years of employment as a software developer
bookThe University of Utah
bookBachelor of Science (BS), Mathematics, Bachelor of Science (BS), Mathematics at Miami University
languagesEnglish, Spanish
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Github Skills (54)

python10
astra10
mixture-of-experts10
machine-learning10
linux10
pytorch-lightning10
temporal-data10
deep-learning10
gpu10
computer-vision9
distributed-training9
pytorch9
numpy9
datasets9
autoencoder9

Programming languages (5)

C++Jupyter NotebookNixPythonCuda

Github contributions (5)

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jacobhinkle/hex_interlacing

Jul 2022 - Nov 2022

Contributions:38 commits, 8 pushes in 3 months
jacobhinkle/lagomorph

Jul 2018 - May 2021

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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