Paul Van Eck
Software Engineer at Microsoft
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolPaul Van Eck is a software engineer with 12 years of experience specializing in AI, cloud-native infrastructure, and MLOps, currently working at Microsoft from San Jose. He has deep open-source credentials from IBM contributions to TensorFlow.js and KServe, where he improved model serving, CI/CD pipelines, and Kubernetes/OpenShift deployments for scalable inference. His work spans backend development, test automation, and DevOps—fixing memory leaks and edge cases in tfjs, migrating Azure SDK tests to modern proxies, and integrating Istio/Knative for KServe. Comfortable presenting and mentoring, he has translated research into applied solutions (including a TensorFlow.js PWA for disease detection) and routinely authors tooling and guides that help teams deploy ML at scale. Colleagues rely on him to bridge developer ergonomics and production reliability across cloud and AI stacks.
12 years of coding experience
9 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at University of Delaware
Github Skills (38)
kubernetes10
github-ci10
javascript10
pytest10
python10
azure-sdk10
testing10
cicd10
kubernetes-pods10
istio10
githubaction-workflow10
knative10
test-automation10
wasm-pack9
microsoft-azure9
Programming languages (14)
Github contributions (5)
kserve/kserve
Oct 2020 - Jul 2022
Standardized Serverless ML Inference Platform on Kubernetes
Role in this project:
DevOps Engineer & MLOps Engineer
DevOps Engineer & MLOps EngineerContributions:119 reviews, 40 commits, 40 PRs in 1 year 9 months
Contributions summary:Paul primarily focused on improving the deployment and operational aspects of the KServe platform. They updated installation scripts, integrated the latest Istio and Knative versions, and added OpenShift installation guides, indicating a focus on infrastructure setup. Furthermore, the user made changes to the e2e test suite and configuration files to ensure correct runtime images and improve CI/CD pipeline, highlighting contributions towards automated testing and deployment.
xgboostsklearnserverlessclient-goknative
Azure/azure-sdk-for-python
Sep 2022 - Jan 2023
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://learn.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
Role in this project:Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:687 reviews, 46 commits, 691 PRs in 4 months
Contributions summary:Paul primarily focused on refactoring and improving the testing infrastructure for the Azure SDK for Python, particularly within the CognitiveLanguage and MixedReality modules. They migrated tests from the deprecated vcrpy system to the Test Proxy, a more modern approach for recording and replaying API interactions. The user also addressed Python 3.6 deprecation and other code cleanup tasks to improve project maintainability. In addition, the user worked on several code fixes to address edge cases related to incorrect endpoint slashes and test proxy functionality.
pythonversionedazure-functionssdkazure-python
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