Owen Thomas
Sr. Principal Engineer at Siemens
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolOwen Thomas is a Principal Engineer at AWS with over eight years of experience building and scaling machine learning and cloud infrastructure, currently focused on Amazon SageMaker. He combines deep production engineering—having been on the SageMaker launch team and authoring examples in the aws/amazon-sagemaker-examples repo—with a research background in statistical machine learning. Owen has driven core compute systems for Amazon’s consumer marketing business and earlier led technology at a consumer genomics startup, demonstrating a rare blend of infrastructure, ML, and domain-specific product experience. Based in Seattle, he is a multidisciplinary technologist who enjoys translating experimental ML workflows into reproducible, production-ready pipelines.
8 years of coding experience
13 years of employment as a software developer
Australian National UniversityBachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at The University of Queensland
Github Skills (11)
jupyter-notebook10
machine-learning10
tensorflow10
aws10
data-science10
sagemaker10
python9
mlops9
deep-learning9
inference3
reinforcement-learning3
Programming languages (4)
Github contributions (5)
aws/amazon-sagemaker-examples
Nov 2017 - Jun 2019
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Role in this project:
ML Engineer
ML EngineerContributions:9 commits, 9 PRs, 8 pushes in 1 year 7 months
Contributions summary:Owen contributed to the AWS SageMaker examples repository by adding content and examples related to machine learning tasks. The commits involved adding a license statement, creating a TensorFlow pipemode example, and including a notebook on ML experiment management using search. The user's work directly focused on demonstrating and explaining the use of SageMaker for training and managing machine learning models.
amazon-sagemakerjupyter-notebookmachine-learning-modelssagemakeraws
aws/sagemaker-tensorflow-extensions
May 2018 - Feb 2021
SageMaker specific extensions to TensorFlow.
Contributions:2 releases, 5 reviews, 116 commits in 2 years 8 months
sagemakertensorflow
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