Taylor Griffin
Test Engineer at VersaLogic Corporation
Portland, Oregon Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolTaylor Griffin is a Test Engineer with five years of experience building and validating high-performance software and hardware at Intel and now VersaLogic, blending hands-on failure analysis and product development with system-level test engineering. Skilled in Python, Perl, C++, and Linux, Taylor has made notable open-source contributions to OpenVINO—optimizing OpenCL kernels and improving inference engine operations like ScatterUpdate and Permute for real-world AI workloads. Based in Portland and trained in computer engineering at Portland State University, he pairs low-level debugging instincts with an eye for performance tuning in AI frameworks (TensorRT-LLM/OpenVINO). Colleagues rely on him for pragmatic fixes that improve both correctness and build/runtime efficiency, a pattern born from experience across R&D, product engineering, and intern rotations in medical device and semiconductor contexts.
5 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Portland State University
Github Skills (14)
kernel10
performance-tuning10
opencl10
deep-q-learning10
inference-engine10
c-language10
deep-learning10
cprogramming-language10
kernel-mode10
optimization10
openvino9
deeplearning-ai8
computer-vision8
ai8
Programming languages (4)
Github contributions (5)
openvinotoolkit/openvino
Feb 2021 - Jan 2023
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2438 reviews, 65 commits, 835 PRs in 1 year 11 months
Contributions summary:Taylor focused on fixing and optimizing kernels within the Inference Engine's clDNN library, specifically targeting the OpenVINO toolkit. Their contributions primarily involve improving and correcting the functionality of deep learning operations, such as the ScatterUpdate and Permute kernels. They also made build time optimizations for OpenCL kernels, and worked on performance improvements for various operations, demonstrating a strong focus on performance and accuracy within the framework.
aiinferenceopenvinodeep-learningcomputer-vision
yeonbok/openvino
Jan 2021 - Nov 2025
OpenVINO™ Toolkit repository
Contributions:87 reviews, 49 PRs, 1960 pushes in 4 years 10 months
openvino
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