Tuo Hu
Software Engineer at Amazon Web Services (AWS)
Herndon, Virginia, United States
Summary
🤩
Rockstar🎓
Top SchoolTuo Hu is a software engineer with a decade of experience, currently contributing as a Principal Engineer on AWS’s AutoML team in Herndon, Virginia. He focuses on productionizing machine learning workflows, with hands-on expertise in MLOps, CI/CD, and GPU/CUDA support—work exemplified by contributions to the high-profile AutoGluon project to streamline builds, docs, and nightly images. At AWS since 2020, he blends cloud-scale engineering with practical dependency and installation improvements (including torch/torchvision upgrades) that reduce friction for ML users. A University of Maryland CS graduate, he brings a pragmatic, infrastructure-first mindset to making ML tools faster to adopt and easier to maintain.
10 years of coding experience
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Maryland
Github Skills (11)
pytorch10
docker10
python10
dockers10
cicd10
automated-machine-learning9
gpu9
machine-learning9
deep-learning8
deeplearning-ai8
devops8
Programming languages (5)
Github contributions (5)
autogluon/autogluon
Nov 2022 - Jan 2023
Fast and Accurate ML in 3 Lines of Code
Role in this project:
MLOps Engineer
MLOps EngineerContributions:1 release, 435 reviews, 15 commits in 2 months
Contributions summary:Tuo primarily contributed to improving the continuous integration and deployment (CI/CD) pipeline for the AutoGluon project. They focused on streamlining the build processes for documentation and nightly images. They updated dependencies, including upgrading the torch and torchvision in the installation guide. The user also made code changes related to GPU installation and support for CUDA versions.
forecastingimage-textmlppythonmeta-learning
tonyhoo/autogluon
Oct 2022 - Feb 2023
AutoGluon: AutoML for Image, Text, and Tabular Data
Contributions:24 PRs, 45 pushes, 19 branches in 3 months
pytorchimage-textpythondata-sciencedeep-learning
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