Gary Wang
Software Development Engineer at Amazon Web Services (AWS)
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolGary Wang is a Software Development Engineer at AWS with eight years of experience building ML and cloud systems, currently contributing to Amazon SageMaker to improve model training and inference workflows. He holds BS and MS degrees in Computer Science from RPI with an AI/ML focus and has published practical research on contrastive learning and model transferability in collaboration with IBM Research. His hands-on background spans production SDK contributions—such as adding inference recommender sizing and tagging support to the popular sagemaker-python-sdk—and automated workflow engineering for Elastic Inference. Gary combines systems-level engineering (NCSA cyberinfrastructure and OS/database mentoring) with applied ML work (LSTM forecasting, PyTorch/SimCLR), making him fluent in taking models from research prototypes to reliable cloud deployments.
7 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Rensselaer Polytechnic Institute
Github Skills (7)
machine-learning10
aws10
python10
sagemaker10
ml-deployment9
continuous-deployment9
testing8
Programming languages (5)
Github contributions (5)
aws/sagemaker-python-sdk
Jan 2023 - Jan 2023
A library for training and deploying machine learning models on Amazon SageMaker
Role in this project:
ML Engineer
ML EngineerContributions:136 reviews, 1 commit, 27 PRs in 1 day
Contributions summary:Gary contributed to the development of an inference recommender by implementing the `right_size()` feature within the SageMaker Python SDK. Their work involved modifications to the `session.py` file to support inference recommendations jobs, including creating requests and handling parameters. They also added tagging support to the inference recommender integration tests, as well as deployment recommendation ID support.
pytorchsagemakerdeployingmxnetpython
gwang111/sagemaker-python-sdk
Nov 2022 - Feb 2025
A library for training and deploying machine learning models on Amazon SageMaker
Contributions:2 PRs, 97 pushes, 21 branches in 2 years 3 months
deployingsagemakeramazon-sagemakerdeploying-machine-learningamazon
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