Giulio Frasca
Senior Software Engineer at Red Hat
Raleigh-Durham-Chapel Hill Area United States
Summary
🤩
Rockstar🎓
Top SchoolGiulio Frasca is a Senior Software Engineer with eight years of experience building backend systems for cloud-native and AI infrastructure, currently shaping Red Hat OpenShift AI and contributing upstream to the widely used Kubeflow Pipelines project. He specializes in backend refactoring, API design, and Kubernetes controllers, having improved recurring-run functionality, Argo compatibility, and pipeline storage behaviors in production-grade ML orchestration. Based in the Raleigh-Durham area and grounded in a Computer Science degree from NC State, he blends enterprise experience from Red Hat and Oracle with hands-on open-source impact. Colleagues rely on him to tame integration-test flakiness and introduce pragmatic limits like parallelism controls that make large-scale ML workflows more reliable.
8 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at North Carolina State University
English, Latin
Github Skills (13)
kubeflow10
kubernetes10
argo-workflows10
go10
backend10
back-end-development10
kubernetes-pods10
apidoc9
api9
machine-learning8
dockers5
docker5
python4
Programming languages (8)
Github contributions (5)
kubeflow/pipelines
Nov 2023 - Apr 2025
Machine Learning Pipelines for Kubeflow
Role in this project:
Back-end Developer
Back-end DeveloperContributions:33 reviews, 13 PRs, 53 comments in 1 year 4 months
Contributions summary:Giulio primarily contributed to the backend aspects of the Kubeflow Pipelines project. They focused on refactoring backend code, fixing integration tests, and updating API service parameters, specifically related to the recurring run functionality. The user also upgraded the Argo version, addressing related compatibility issues with node names and IDs in the frontend and backend. Additionally, they removed PipelineSpec Template storage from ObjStore responsibilities and added a parallelism limit feature.
pipelinetektondata-sciencemachine-learningmlops
red-hat-data-services/data-science-pipelines-tekton
Sep 2022 - Jan 2025
Kubeflow Pipelines on Tekton
Contributions:13 reviews, 11 PRs, 3 pushes in 2 years 4 months
pipelinetektonkubeflowkubernetespipelines
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