Taylor Rockey
Senior Software Engineer - Industry Solutions Engineering at Microsoft
Renton, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolTaylor Rockey is a Senior Software Engineer at Microsoft with a decade of experience turning cutting-edge AI research into production-grade solutions for S500 customers. He specializes in MLOps and LLMOps, building multi-agent, RAG, and data-enrichment applications while hardening DevOps pipelines and custom vision models for real-world impact. Known for closing the loop between customer feedback and AI Engineering, he blends deep implementation skills with hands-on troubleshooting to drive adoption at scale. His open-source contributions include practical MLOps work in Microsoft's MLOpsPython repo, where he parameterized AML pipelines and improved environment configuration for reproducible deployments. Based in Renton, WA, he pairs technical rigor with a creative off-hours practice in woodworking, reflecting a pragmatic maker mindset.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.), Informatics, Bachelor of Science (B.S.), Informatics at University of WashingtonKentlake High School
Spanish
Github Skills (8)
azure-devops-server10
mlops10
environment-variables10
python10
azure-devops10
pipeline10
docker8
dockers8
Programming languages (7)
Github contributions (5)
microsoft/MLOpsPython
Jul 2019 - Sep 2019
MLOps using Azure ML Services and Azure DevOps
Role in this project:
MLOps Engineer
MLOps EngineerContributions:7 commits, 3 PRs, 2 pushes in 1 month
Contributions summary:Taylor primarily focused on integrating environment variables and parameterizing configurations within the Azure Machine Learning (AML) service setup. Contributions included updating Python scripts across multiple files to load `.env` files and dynamically access environment variables, particularly for workspace, cluster, and service deployments. Additionally, the user updated the pipeline for training and model registration by parameterizing the inputs.
devopsazure-mlmlopsazure-machine-learningmachine-learning
microsoft/CSE-Readiness
Mar 2018 - Jul 2019
A collection of useful Readiness training resources
Contributions:74 commits, 11 PRs, 9 pushes in 1 year 4 months
trainingreadiness
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