Ryan Steakley
Software Development Engineer II at Amazon Web Services (AWS)
California, United States
Summary
🤩
Rockstar🎓
Top SchoolRyan Steakley is a Software Development Engineer II with six years of experience building cloud-native and ML-focused tooling at Amazon Web Services, where he progressed from intern to SDE II. Based in California, he specializes in MLOps and deployment integrations, contributing to high-profile open-source work on Kubeflow Pipelines—adding SageMaker v1/v2 samples, IRSA support for S3, and AWS test improvements. He combines backend engineering with practical ML infrastructure knowledge, repeatedly shipping production-ready features that bridge frontend and backend systems. Known for improving resource handling and security-conscious integrations, he brings a pragmatic, delivery-oriented approach to complex cloud and machine learning workflows.
5 years of coding experience
2 years of employment as a software developer
California Polytechnic State University, San Luis Obispo
Github Skills (14)
aws-s310
kubeflow10
kubernetes10
mlops10
aws10
amazon-s310
python10
kubernetes-pods10
s3-bucket10
cicd9
go9
docker8
machine-learning8
dockers8
Programming languages (8)
Github contributions (5)
kubeflow/pipelines
Oct 2021 - Jan 2023
Machine Learning Pipelines for Kubeflow
Role in this project:
MLOps Engineer
MLOps EngineerContributions:43 reviews, 13 commits, 14 PRs in 1 year 3 months
Contributions summary:Ryan primarily contributed to the integration and deployment aspects of the Kubeflow Pipelines project. They updated tests for AWS SageMaker components, including support for newer versions of the Kubeflow Pipelines and improvements to resource handling. The user also worked on supporting IRSA (IAM Role for Service Accounts) for S3 access within the backend and frontend systems. They also added a sample pipeline combining v1 and v2 of the AWS Sagemaker components.
pipelinetektondata-sciencemachine-learningmlops
aws-controllers-k8s/sagemaker-controller
May 2021 - Dec 2022
ACK service controller for Amazon SageMaker
Contributions:3 releases, 198 reviews, 65 commits in 1 year 6 months
sagemakeramazon-sagemakercontrolleramazonmachine-learning
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