Michael Oglesby is a senior software engineer in Raleigh with seven years of professional experience building AI/ML orchestration and data management solutions at NetApp. He architects and leads the NetApp DataOps Toolkit and has designed end-to-end AI/ML/DL control planes that integrate hybrid cloud storage, Kubernetes, and Kubeflow to make production training and inference workloads repeatable and reliable. Comfortable in both customer-facing and technical roles, he has a track record of translating field needs into documentation, automation, and open-source tooling used by data scientists and platform engineers. A North Carolina State Computer Engineering valedictorian, he pairs strong communication and collaboration skills with hands-on Python engineering and systems integration expertise. Notably, he has presented NetApp AI solutions at major industry conferences and contributed deployment automation to community projects like NVIDIA DeepOps, showing an inclination for practical open-source impact.
7 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.S.), Computer Engineering, Bachelor of Science (B.S.), Computer Engineering at North Carolina State University
The NetApp DataOps Toolkit is a Python library that makes it simple for developers, data scientists, DevOps engineers, and data engineers to perform various data management tasks, such as near-instantaneously provisioning, cloning, or snapshotting a data volume or JupyterLab workspace.
Contributions:14 releases, 5 reviews, 172 commits in 1 year 11 months
Contributions:18 commits, 18 pushes in 1 year 1 month
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