Jared Duke
Senior Staff Software Engineer at Google
Palo Alto, California, United States
Summary
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Rockstar🎓
Top SchoolJared Duke is a Senior Staff Software Engineer based in Palo Alto with 14 years of experience building high-performance systems across machine learning, graphics, and large-scale build tooling. At Google since 2013 he’s driven optimizations that blend compiler and build engineering with runtime efficiency, including enabling R8/D8 JVM flags and code shrinking in AOSP builds. His open-source contributions span TensorFlow examples—where he added GPU acceleration and UI toggles for model/runtime selection—and core 3D tooling in assimp, improving format parsing and build portability. Jared’s background in computational and mathematical engineering from Stanford and early roles at NVIDIA and Autodesk give him a rare mix of applied math, rendering physics, and systems-level engineering. Colleagues rely on him for pragmatic refactors that deliver measurable performance gains and cleaner, more maintainable code.
14 years of coding experience
4 years of employment as a software developer
M.S. Computational and Mathematical Engineering, M.S. Computational and Mathematical Engineering at Stanford University
Stackoverflow
159reputation
12kreached
12answers
0questions
Github Skills (30)
c-language10
ng10
image-classification10
machine-learning10
android-build10
tensorflow10
build-automation10
computer-vision10
tflite10
fbx10
gpu-acceleration10
cprogramming-language10
java9
android-development9
stl9
Programming languages (12)
Github contributions (5)
tensorflow/examples
Mar 2019 - Jun 2021
TensorFlow examples
Role in this project:
ML Engineer
ML EngineerContributions:14 reviews, 21 commits, 8 PRs in 2 years 4 months
Contributions summary:Jared primarily contributed to the image classification example within the TensorFlow examples repository. They added support for GPU acceleration and provided UI controls for selecting between CPU/GPU execution and model choices. Furthermore, they refactored the codebase to utilize the GPU delegate for optimized performance and fixed input normalization issues. The user also removed stale code and addressed build-related issues.
tensorflow
assimp/assimp
Jan 2013 - May 2015
The official Open-Asset-Importer-Library Repository. Loads 40+ 3D-file-formats into one unified and clean data structure.
Role in this project:Software Engineer
Software EngineerContributions:25 commits, 1 PR, 28 comments in 2 years 4 months
Contributions summary:Jared primarily focused on improving and maintaining the Open-Asset-Importer-Library, addressing various build issues, and improving the handling of different file formats. Their contributions include fixing build errors related to specific compilers and Boost versions, improving the accuracy of file format detection, and correcting face orientation in blend meshes. Furthermore, they implemented changes to enhance the parsing of OBJ files, and added support for command-line arguments in sample applications.
pythonc-plus-plusobjective-cvolume-renderingfbx-exporter
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