All thirteen — flagships, client work, enterprise systems, and the autonomous pipelines that run this site. Architecture deep-dives live in /products.
A Rust-powered desktop cockpit for streaming professionals, engineered via modular Claude orchestrations. Handles live system telemetry feeds, multi-platform chat velocity streams, and real-time automated OBS scene synchronization.
A Tier-1 support assistant for streamerOS built on a grounded RAG architecture. A Hono router on Cloudflare Workers embeds the product knowledge base into Upstash Vector, retrieves the relevant passages per question, and streams a gemini-flash answer constrained strictly to that context — refusing anything out of scope.
A personal-finance agent where the AI is structurally incapable of touching the money: every record lives in on-device SQLite (no cloud backend), and the model's function calls render as Review & Confirm cards — it proposes, only a human commits. Serialized writes, offline-first, and a daily on-device briefing.
One Cloudflare Worker, two interfaces: a grounded RAG API that answers questions about my work from a Vectorize index of my 95-article corpus (refusing anything out of scope), and an MCP server — add its URL to Claude and interrogate this portfolio from inside your own AI. Corpus re-embeds automatically after every deploy.
A free vocational-skilling LMS (“Learning to Livelihood”) for a client sitting on a library of course videos and PDFs. The brief arrived on a Monday — an MVP sketch and a vision of what it should become — and a working platform was live on the dev environment the next day: auth, course delivery for the client's video and PDF content, self-paced learning flow. One day from vision to a URL the client could click.
A self-hosted autonomous agent that lives entirely in a GitHub repository. On a cron schedule, a GitHub Actions runner drafts a technical post with the Gemini API, publishes it, and commits its state back to the repo — no server, no subscription.
A native Next.js pipeline that autonomously writes, formats, and deploys Markdown articles straight to this site. Gemini drafts the MDX, GitHub Actions commits it, and GitHub Pages ships the static export — at a steady-state cost of exactly $0.
An autonomous agentic retrieval-augmented generation engine deployed for law enforcement workflows. Scans massive multi-format legal structures to confidently trace, evaluate, and output systematic verdict matrices directly to investigators.
An interactive workflow-automation environment featuring responsive connectors, processing layers, and directional edge bindings. Developed a custom state Serialization Adapter architecture to optimize graph serialization over the wire.
A scaled administrative core engine supporting thousands of active endpoints. Hardened through structured cache rings and strict role-based authorization layers for low-latency, high-availability operation.
A high-throughput clinical workflow orchestration platform. Optimizes lookup routines through heavily cached queries and defensive server request-validation pipes for reliable patient-doctor data flow.
Embedded native smart-television systems engineered using modular vanilla abstractions for pristine execution over limited, multi-resolution, low-spec client platforms.
Structural system architectural optimization and deep defensive codebase translation for an enterprise core application. Implemented system type-safety definitions and refactored core data channels.