I'm a software engineer at GitHub, where I build delightful developer tools for GitHub Copilot, including the Copilot Cloud Agent.
I'm a product-first, intentional engineer focused on the practical application of AI systems. I graduated magna cum laude from Princeton with a B.A. in Computer Science and Cognitive Science. After more than a decade of programming, I'm still chasing the pursuit of turning ambitious ideas into tangible solutions that meaningfully improve how people work and live.
As a first-generation, low-income student, I benefited from people who recognized and invested in my potential. I try to honor that investment by approaching opportunity with gratitude, sharing what I've learned, and helping others where possible.
Outside of work, I can be found playing volleyball, working out, or reading.
Kafka Event-based Go infrastructure to enable Copilot to make decisions autonomously. Supports a variety of AI developer workflows including, but not limited to: fixing CI tests, resolving merge conflicts, and triaging issues!
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A Blender plugin built to visualize CryoDRGN output by rendering dynamic protein conformations. Converts voxel-based CryoDRGN results to point cloud `.ply` mesh sequences, reducing memory usage by 97%. Upgrades legacy Stop Motion OBJ support for Blender 4.0+, enabling seamless import and real-time rendering of complex protein shape transitions.
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A full-stack web app built for a nonprofit serving formerly incarcerated individuals in Trenton, NJ. The platform enables staff to record, track, and analyze program outcomes, reducing paperwork and improving client support. Developed as part of Princeton's COS333 course.
danhu [at] alumni [dot] princeton [dot] edu