Self-taught engineer in New York. I take a problem, route it across LLMs for cost and reliability, harden it for production, and put it on a live URL — usually the same day. Looking for a forward-deployed / founding / applied-AI engineering role. Every claim below is a link you can click.
Tap and talk to an orb; it answers in real time with New York energy. The complete voice loop most AI startups are building right now.
Paste a bartender job link and an agent crew researches the venue, tailors the resume and runs a venue-specific mock interview. I tend bar in Manhattan — this is AI built for the job I actually work.
A real tool-using agent — it remembers you, researches live news to ground its answers, and speaks a personalized brief. Installs to your home screen.
search_news RSS-RAG tool and a durable remember tool writing per-user memory, up to 4 rounds. Real ElevenLabs voice. A real agent, not a chat wrapper.Demonstrate a GUI workflow once; it compiles to a visual state machine and replays with zero LLM calls — against moved windows, shuffled rows and changed themes.
A cinematic Electron desktop AI assistant — boots to a rotating Earth, wake-on-clap, voice briefing + HUD, pluggable LLM brain, multi-seat reasoning Council.
A 69-day field study on my own automated machine: do autonomous agents faithfully report their own work?
Tip-pool and wage-order audit for hospitality — the industry I actually work in, where I've watched that math go wrong on my own checks.
Fully-local, keyless AI video pipeline — local Whisper ASR + LLM-planner + ffmpeg — that edited a real YouTube episode end-to-end.
The free front door to Shift AI: paste a service-industry resume, pick a role, get an A–F grade and three specific fixes in under ten seconds.
Type intent in plain English; it re-ranks my work by meaning — on-device, no API key, no backend inference.
A live AI personal assistant I built and operate for a paying founder — PWA + WhatsApp + Telegram, morning-brief cron, knows his ventures.
A Dixon-Coles match model fit on 49,472 matches that beats naive out-of-sample — and honestly reports when no edge exists.
A zero-dependency prompt-enhancer for Claude Code — shipped as a hook, a slash-command, AND an MCP tool.
One verb, agent_do(intent, site, data), that descends a 4-rung ladder (API → HTML → headless browser → vision) using the cheapest rung that works.
An MCP server exposing 11 models as callable tools, plus consensus engines that fan a prompt to several LLMs and synthesize a judged answer.
An audience that watches me ship. For a DevRel or design-partner-facing role, that's a credential.
I'm looking for a forward-deployed, founding, or applied-AI engineering role — somewhere shipped work counts more than a résumé. Voice AI, agents, and embedding-with-customers is exactly my lane.