Clayton Parnell
Software Engineer at Amazon Web Services (AWS)
Atlanta, Georgia, United States
Summary
🤩
Rockstar🎓
Top SchoolClayton Parnell is a software engineer based in Atlanta with three years of professional experience building full-stack and cloud-native systems, currently contributing at Amazon Web Services. He has hands-on experience in ML-focused tooling—contributing to the widely used Amazon SageMaker Python SDK by adding SparkML support, fixing async inference and processing bugs, and improving documentation and tests. His background spans enterprise and embedded systems work—from NCR and AWS to Georgia Tech Research Institute projects involving radar-warning receivers—bringing a blend of production web services and low-level systems understanding. Clayton earned a CS degree from Georgia Tech and holds a history of practical automation and tooling improvements, including data-extraction and simulation apps, showing an eye for reliability and operational detail.
3 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 Georgia Institute of Technology
Github Skills (9)
machine-learning10
python10
sagemaker10
pytest9
testing9
aws9
pytorch8
tensorflow8
git7
Programming languages (8)
Github contributions (5)
aws/sagemaker-python-sdk
Oct 2022 - Dec 2022
A library for training and deploying machine learning models on Amazon SageMaker
Role in this project:
ML Engineer
ML EngineerContributions:392 reviews, 7 commits, 83 PRs in 1 month
Contributions summary:Clayton primarily contributed to the Amazon SageMaker Python SDK, focusing on improving its machine learning capabilities. Their work included adding support for SparkML v3.3, fixing issues related to asynchronous inference configuration, and correcting a bug related to file naming during processing. They also addressed several other fixes, including those related to documentation and test failures, demonstrating a focus on improving the SDK's functionality and stability.
pytorchsagemakerdeployingmxnetpython
claytonparnell/sagemaker-distribution-test
Nov 2023 - Mar 2025
Testing repository for sm-distribtution workflows (as they only run on main branch)
Contributions:89 PRs, 152 pushes, 88 branches in 1 year 3 months
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