I build AI-native products, LLM-powered web apps, and production sites for real clients. Currently pursuing an M.S. in Artificial Intelligence at San José State.
A Manifest V3 extension that explains any highlighted text in place. Keep scrolling to walk through how it works.
Selection highlights render as overlay rects from Range.getClientRects() — zero host-DOM mutation, so framework-rendered pages never break.
SSE deltas flow from service worker to content script over a long-lived port, with disconnect-driven AbortController cancellation. Median 1.7s to full explanation.
Shadow DOM isolation, session-scoped caching keyed by selection hash, and BYOK auth — no key in the package, no backend required.
AI chart-analysis tool: a raw chart screenshot becomes a structured technical read — trend, key levels, and two probability-weighted scenarios — in ~12s. Vision prompts with strict JSON schemas render straight into UI components, plus a retrieval-grounded coach that reasons only over the user's logged trades.
The terminal above is a real product: a hosted API that answers recruiter questions about my background using an LLM grounded in my resume and project docs. Try it — it's the fastest way to screen me.
The browser extension from the walkthrough above — built, debugged, and published end to end. Streaming SSE architecture, Shadow DOM isolation, and BYOK auth keeping it fully client-side.
Production sites for small-business clients in the automotive and apparel sectors — 38Carmodz and BM Wrapz — hand-rolled HTML/CSS/JS with no framework overhead, owning scoping, build, and delivery end to end.
The layer I build products around — every project on this page ships an LLM in production, not a demo.
From product scripting down to assembly — comfortable at every level of abstraction.
Full-stack delivery: React UIs when the product calls for it, hand-rolled vanilla when it doesn't.
The unusual part of my stack for a web person: real systems coursework — device drivers, file systems, OS internals.
Built and shipped production sites for small-business clients in the automotive and apparel sectors, owning scoping, build, and delivery end to end. Developed an AI-assisted workflow using Cursor and Claude to cut build time, and managed client relationships directly — translating non-technical requirements into scoped deliverables.