JP Davalos.

Computer Science student at UC San Diego focused on fullstack engineering, data analysis, and applied research.

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Selected Work

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PathLayer

Graph engine that traces the shortest introduction path through your professional network.

Next.js
React
TypeScript
Tailwind CSS
React Flow

BFS and Dijkstra run entirely client-side, computing shortest-hop and minimum social-friction paths through a synthetic professional network in real time.
React Flow renders the computed path as a live, explorable graph with supporting panels for path details, node profiles, and candidate rankings.
Builds to a fully static export with no backend required, deployable to Cloudflare Pages with a deterministic seed-generated dataset bundled at build time.

Transfer Pathway Planner

Web app for students that generates community-college-to-UC Computer Science transfer pathways.

React
TypeScript
Python
Vite
Vitest

Built a full-stack web app that generates customized transfer plans for California community college CS students.
Implemented backend scheduling logic to validate prerequisites and optimize course sequencing across terms.
Developed a responsive interface for real-time course validation and smooth backend data integration.

Experience Snapshot

Recent roles and leadership

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Let's build something useful.

I'm a CS student at UCSD with hands-on experience in fullstack development, data engineering, and research. Actively looking for software engineering roles — if you're building something interesting, I'd love to hear about it.

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