Chris Van Pelt is a seasoned software leader and Co-Founder/CISO of Weights & Biases with 17 years of experience building scalable web applications and AI tooling from the ground up. Based in San Francisco, he combines hands-on full-stack engineering—servers, databases, Ruby/Python backends, and responsive JavaScript UIs—with security and operational ownership in fast-moving startups. He has deep practical experience integrating experiment tracking and visualization into ML workflows (notably adding Weights & Biases support to Ludwig and multiple examples) and contributes across front-end and back-end domains in high-profile open-source projects like wandb and Jekyll. Known for shipping pragmatic, auditable solutions, he frequently bridges product, infra, and data science needs to move models into production. His work shows a penchant for tooling and developer experience improvements—everything from custom liquid tags in Jekyll to Tailwind-based UI refinements—reflecting a developer who values both polish and scale.
OpenUI let's you describe UI using your imagination, then see it rendered live.
Role in this project:
Front-end Developer
Contributions:22 reviews, 52 PRs, 115 pushes in 6 months
Contributions summary:Chris primarily contributed to the front-end development of the project, focusing on UI enhancements and component modifications. Their work involved moving UI elements to GitHub pages and making changes to the HTML annotator. These changes include modifications of the Javascript and TypeScript code, adding new features to the components, and adjustments to the display using the Tailwind CSS library.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Role in this project:
Full-stack Developer
Contributions:4 releases, 679 reviews, 1439 commits in 6 years
Contributions summary:Chris implemented features and fixed bugs in the React and Python-based codebase. Their contributions included modifications to UI components, integration with backend APIs, and improvements to data processing and model visualizations. The commits involved refactoring existing code, resolving conflicts, and adding new features, demonstrating a good grasp of both front-end and back-end technologies.
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