Cameron Garrison is a software engineer with six years of experience focused on cloud-native and data-driven systems, currently extending OpenShift Service Mesh for the OpenShift Data Science platform at Red Hat. He brings practical MLOps and edge streaming experience from building anomaly detection POCs with Kafka and hands-on work enabling GPU workflows in Jupyter for PyTorch and TensorFlow. His background spans research into adversarial ML, large-scale data engineering—creating a 12+ billion-entry emissions dataset at MilliporeSigma—and product engineering where he led a small team to ship an MVP backend. Comfortable bridging research and production, he has presented adversarial-method insights to research groups and builds tooling that helps teams leverage GPUs and managed platforms effectively.
6 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Boston University
A repository for Open Data Hub Kustomize manifests extending upstream Kubeflow manifests
Contributions:6 PRs, 173 pushes, 40 branches in 6 months
upstreamkubeflowopen-datakuberneteskustomize
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