Mathew Wicks
AI Platforms - Kubernetes, SLURM
Redwood City, California, United States
Summary
🤩
Rockstar🎓
Top SchoolMathew Wicks is an AI platforms engineer and open-source leader with 10 years of experience enabling organizations to run AI/ML workloads on Kubernetes and SLURM. Based in Redwood City, he leads Kubeflow Notebooks and designed Notebooks 2.0 while also founding deployKF to automate complex MLOps on Kubernetes for teams without deep DevOps expertise. Mathew maintains the widely used Airflow Helm Chart and has authored AI container images downloaded over 10 million times, reflecting real-world scale and trust. His contributions span front-end UX improvements for the Kubeflow website and notebook UIs, backend performance and caching in external-secrets, and secure KFP integrations in Elyra, showing full-stack MLOps fluency. A trusted advisor and mentor, he blends hands-on engineering with community stewardship, having guided Google Summer of Code contributors and led cross-functional engineering teams. Less obvious: he pairs a physics and CS background with practitioner experience at banks, consultancies, and NVIDIA, giving him a rare mix of rigor, production reliability, and product-minded platform design.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS Physics and Computer Science, Bachelor of Science - BS Physics and Computer Science at University of Auckland
Stackoverflow
151reputation
19kreached
7answers
1question
Github Skills (40)
kubernetes10
javascript10
docker10
controller10
python10
css10
secret-management10
user-interface10
dockers10
secrets-manager10
go10
mlops10
kubernetes-pods10
html10
kubeflow-pipelines10
Programming languages (25)
Github contributions (5)
kubeflow/website
Nov 2020 - Nov 2022
Kubeflow Website
Role in this project:
Front-end Developer
Front-end DeveloperContributions:383 reviews, 21 commits, 121 PRs in 2 years
Contributions summary:Mathew primarily contributed to improving the website's user interface and navigation. They refactored and updated the website's layout and styling, addressing aspects like the navigation bar and footer. Furthermore, the user integrated and refined the display of Kubeflow versioning and community information, ensuring an enhanced user experience. They have also improved the docsy theme by adding the submodule and removing overrides, with related styling updates.
kubeflow
kubeflow/kubeflow
Aug 2020 - Nov 2022
Machine Learning Toolkit for Kubernetes
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:3 releases, 70 reviews, 15 commits in 2 years 3 months
Contributions summary:Mathew primarily worked on the front-end components of the Jupyter web application within the Kubeflow repository, upgrading to Angular 8 and incorporating new features. They updated the user interface, including components for affinity and tolerations, contributing to improved functionality of the notebook service. Additionally, the user addressed bugs related to GPUs and dashboard headers, enhancing overall usability and fixing setting readOnly.
kubernetesmachine-learningmlminikubetensorflow
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