Ean Garvey
Senior Software Development Engineer at AMD
San Marcos, Texas, United States
Summary
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RockstarEan Garvey is a Senior Software Development Engineer at AMD with four years of hands-on experience building ML systems and tooling. Previously at nod.ai he focused on machine learning infrastructure, notably extending SHARK-Studio’s runner to support multiple model serialization formats for easier debugging and optimization. Based in San Marcos, Texas, he bridges low-level ML runtime work with developer-facing CLI and UI improvements, making high-performance models more accessible. His background includes practical customer-facing experience from retail, giving him a pragmatic approach to building usable tools. Ean combines systems-level rigor with a user-centric mindset, shipping changes that help teams iterate on model performance faster.
4 years of coding experience
6 years of employment as a software developer
Github Skills (10)
machine-learning10
python10
mlr10
deep-learning9
pytorch9
irr8
command-line-interface8
command-line8
cli8
numpy6
Programming languages (7)
Github contributions (5)
nod-ai/SHARK-Studio
Apr 2022 - Jan 2023
SHARK Studio -- Web UI for SHARK+IREE High Performance Machine Learning Distribution
Role in this project:
ML Engineer
ML EngineerContributions:346 reviews, 127 commits, 499 PRs in 9 months
Contributions summary:Ean's contributions center around extending the `shark-runner` command line interface to support saving machine learning models in different formats (.mlir, .vmfb). They added options to the `shark-runner` to allow users to choose the format for saving modules. The changes include modifications to `shark_runner.py`, `torch_mlir_utils.py`, and `iree_utils.py` to accommodate the new functionality and file saving. These additions enable users to debug and optimize their models.
pytorchcudaamdheterogeneousdeep-learning
monorimet/iree
Nov 2021 - Jul 2023
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Contributions:38 pushes, 8 branches in 1 year 8 months
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