I build systems that sit close to people: interfaces, research tools, graphics programs, retrieval infrastructure, and products that mix hardware, software, and human factors.
My work spans HCI and AI research, distributed systems, full-stack product engineering, creative tools, embedded systems, and visual computing. I tend to like projects where the interface, the underlying architecture, and the real-world workflow all have to be designed together.
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- Building retrieval and knowledge infrastructure for local-first, provenance-aware AI workflows.
- Maintaining a private computer-science monorepo that collects graphics, algorithms, systems, and language experiments.
- Exploring HCI, wearables, AR/VR, human-centered AI, physical interfaces, and design-heavy software.
- Keeping public slices of larger systems available when they are useful as references.
- p13i.github.io: personal website, writing, CV, and portfolio infrastructure.
- retrieval-infra: retrieval infrastructure experiments and tooling.
- cs-public: selected source from a larger private C++ computer-science codebase.
- raytracer: graphics and physically based rendering work.
- latex-template: reusable LaTeX project structure.
I studied computer science at Stanford and Georgia Tech, with a focus on human-computer interaction and artificial intelligence. I have worked across research labs, startups, and large-scale infrastructure teams, including HCI and wearable-computing research, smart-clothing product development, health-data systems, and policy infrastructure at Google.
I care about software that is technically solid, visually coherent, and useful in the hands of the person actually using it.