Yuvi Panda is a San Francisco–based Co-Founder and engineer with 16 years of experience building and operating cloud-native infrastructure for research and education. He co-leads 2I2C after serving as Infrastructure Architect at UC Berkeley and earlier as an Operations Engineer and mobile developer at Wikimedia. A prolific open-source maintainer across the Jupyter and Wikimedia ecosystems, he has hands-on expertise in Kubernetes, CI/CD, containerization, and authentication—most notably adding Julia support to jupyter/docker-stacks and creating a Jupyter‑Pluto‑Proxy to surface Pluto.jl inside JupyterHub. Yuvi’s work spans backend, DevOps, frontend and QA (BinderHub, repo2docker, kubespawner, nbconvert, nteract), and he pairs production-grade automation (e.g., Let's Encrypt + Traefik for zero-to-jupyterhub) with UX and mobile improvements. This blend of full-stack, infrastructure, and open-source stewardship gives him a rare ability to move complex data-science platforms from prototype to reliable service.
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Role in this project:
Back-end & DevOps Engineer
Contributions:72 reviews, 345 commits, 264 PRs in 5 years 2 months
Contributions summary:Yuvi primarily worked on building and deploying the BinderHub application. Their contributions include implementing features for image building, such as integrating with GitHub and Docker registries, and also modifying the backend code in python. They also implemented infrastructure and deployment changes in the code to integrate better with Kubernetes by way of defining configurations. This work involved setting up build processes and managing the Kubernetes deployment.
Contributions:59 reviews, 307 commits, 158 PRs in 7 years 2 months
Contributions summary:Yuvi's contributions primarily focused on developing and maintaining the `kubespawner` project, a Kubernetes spawner for JupyterHub. They implemented several features including asynchronous API calls, configurable resource limits, and configurable pod volumes, mounts, and image specifications. Their work also involved refactoring the codebase to adopt more efficient methods for interacting with the Kubernetes API, including the switch from the `requests` library to `tornado.httpclient`. They also introduced and addressed various aspects of the build process.
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