R Morgan
Principal Technical Product Manager (EGX) at NVIDIA
Florida, United States
Summary
🤩
Rockstar🎓
Top SchoolR Morgan is a Principal Technical Product Manager at NVIDIA with 13+ years of hands-on experience as a full-stack engineer and datacenter/cloud systems operator, now focusing on EGX product strategy and MLOps enablement. He blends deep infrastructure expertise—OpenStack, OpenShift, Ceph, Ansible, and large-scale datacenter operations—with product leadership across aerospace, defense, and commercial cloud programs. Known for automating complex platform deployments and bridging pre/post-sales technical strategy, he has led migrations, built CI/CD and tenant automation, and driven cost/risk analysis for enterprise customers. His open-source MLOps work includes integrating NVIDIA Cloud Functions into Hugging Face AutoTrain, improving deployment, logging, and error handling for production ML workflows. Practical and detail-oriented, he pairs technical authorship and architectural advising with a knack for translating operational complexity into consumable product features. Based in Florida, he brings a rare combination of field-level systems administration and strategic product stewardship.
13 years of coding experience
14 years of employment as a software developer
Associate of Arts (A.A.), Associate of Arts (A.A.) at Lake Sumter Community CollegeBachelor of Arts (B.A.) Computer Science Digital Media English, Bachelor of Arts (B.A.) Computer Science Digital Media English at University of Central Florida
Stackoverflow
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Github Skills (12)
mlops10
python10
http-request9
deeplearning-ai9
deep-learning9
api8
docker8
json8
api-design8
dockers8
apidoc8
cicd6
Programming languages (10)
Github contributions (5)
huggingface/autotrain-advanced
Dec 2023 - May 2024
🤗 AutoTrain Advanced
Role in this project:
MLOps Engineer
MLOps EngineerContributions:5 PRs in 4 months
Contributions summary:R primarily focused on integrating and managing NVIDIA Cloud Functions (NVCF) for running AutoTrain, indicating a strong MLOps focus. Their contributions involved implementing NVCF backend support, which includes setting up authentication, job submission, and status polling. They also refactored and optimized the NVCF integration, improved logging, and addressed error handling. The user's work directly improved the deployment and operational aspects of AutoTrain using NVIDIA's cloud infrastructure.
reactnatural-language-understandingpythondeep-learningmachine-learning
RedHatGov/terraform-packet-openshift
May 2020 - Oct 2020
Resources and artifacts for OCP 4 UPI on Packet using Terraform
Contributions:64 commits, 43 PRs, 92 pushes in 5 months
ocpupiartifactspacketterraform
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