Ryan Lovett
Director Of Computing, Statistics
California, United States
Summary
🤩
Rockstar🎓
Top SchoolRyan Lovett is a seasoned computing leader with 13+ years at UC Berkeley, now serving as Director of Computing, Statistics, after more than a decade managing the Statistical Computing Facility. He blends deep systems and DevOps expertise—contributing to projects like repo2docker, jupyter-server-proxy, and zero-to-jupyterhub-k8s—with practical data science work around visualization and geospatial analysis. Comfortable across infrastructure, backend, and data workflows, he has hands-on experience containerizing R/Shiny environments and streamlining Kubernetes deployments for research computing. An astrophysics-trained thinker, he applies rigorous scientific intuition to design reliable, scalable systems that support campus-wide analytics. Colleagues rely on him for turning complex academic requirements into maintainable production services and reproducible computational environments.
13 years of coding experience
24 years of employment as a software developer
Bachelor’s Degree, Astrophysics, Bachelor’s Degree, Astrophysics at University of California, Berkeley
English, Spanish
Github Skills (29)
data-visualizations10
kubernetes10
docker10
python10
jupyter10
r10
tornado10
pandas10
bash10
data-visualisation10
proxy10
dockers10
webservice10
kubernetes-pods10
data-visualization10
Programming languages (21)
Github contributions (5)
jupyterhub/jupyter-server-proxy
Oct 2016 - Sep 2022
Jupyter notebook server extension to proxy web services.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:12 reviews, 228 commits, 71 PRs in 5 years 11 months
Contributions summary:Ryan's contributions focused on enhancing the `jupyter-server-proxy` extension, primarily by adding functionalities to proxy web services. They implemented the initial setup for handling proxy requests and subsequently refined it to inherit and modify the request URI. Further improvements included support for both GET and POST methods, and they optimized code by removing extraneous log messages. The user also addressed a minor version update.
jupyter-notebookproxywebservicejupyterjupyterhub
jupyterhub/zero-to-jupyterhub-k8s
Apr 2017 - Jan 2019
Helm Chart & Documentation for deploying JupyterHub on Kubernetes
Role in this project:DevOps Engineer
DevOps EngineerContributions:22 commits, 12 PRs, 8 pushes in 1 year 9 months
Contributions summary:Ryan primarily contributed to the deployment and configuration of JupyterHub on Kubernetes, focusing on infrastructure-related tasks. Their work included enabling admin access, setting environment variables, and installing and configuring tools required for the environment. They also worked on scaling the cluster, optimizing the build process, and configuring shared data mounts. The user's contributions streamlined the deployment and management of the JupyterHub environment on Kubernetes.
helmjupyterhubkubernetesjupyter-notebookjupyter
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