Nick Peñaranda is a Staff Software Engineer with 14 years of hands-on experience building everything from embedded Linux devices and mobile apps to GraphQL-backed web platforms and machine learning developer tools. Currently at Weights & Biases, he contributes to backend systems powering ML workflows, including improving artifact uploads and launch APIs for a widely used AI dev platform. Previously at Credit Karma he led design and implementation of GraphQL federation and consumer-facing dashboard features, demonstrating a knack for decomposing monoliths into scalable microservices. His background blends rigorous human-factors research and a near-PhD level of academic training with practical engineering, giving him a data-driven approach to product and system design. A self-taught programmer with avionics maintenance experience in the Marine Corps, he brings unusual breadth across low-level embedded systems, cloud APIs, and user-facing products. He’s known for quickly learning new stacks and shipping robust, production-grade features that bridge research, hardware, and large-scale web services.
14 years of coding experience
10 years of employment as a software developer
Associate of Science (A.S.), Psychology, 4.0, Associate of Science (A.S.), Psychology, 4.0 at Northern Virginia Community College
Doctor of Philosophy (Ph.D.); Unfinished, Human Factors & Applied Cognition, Doctor of Philosophy (Ph.D.); Unfinished, Human Factors & Applied Cognition at George Mason University
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Role in this project:
Backend Developer
Contributions:135 reviews, 2 commits, 24 PRs in 4 months
Contributions summary:Nick primarily contributed to the backend functionality of the Weights & Biases platform, focusing on bug fixes and new feature implementations within the core SDK. They addressed issues related to artifact uploads to AWS, improving the robustness of the system by handling retryable request timeouts. The user also implemented new API endpoints and features related to launch, including the ability to create run queues and manage job priorities, demonstrating an understanding of the platform's architecture and API design. Their work involved modifications to core modules such as `internal_api.py`, `public.py` and `internal_api.py`.
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Nick Peñaranda - Staff Software Engineer at Weights & Biases