Building production-ready AI applications through intelligent automation, secure full-stack architecture, and AI-native development workflows.
I'm an AI Product Engineer with 6+ years building software and automation systems — on top of a decade in technical operations — who ships production SaaS end-to-end, from the first architecture decision to the deployed, secured, revenue-ready product.
My focus is the intersection of applied AI and full-stack engineering: designing intelligent pipelines around models from OpenAI, Anthropic, and Google, wiring them into React / Next.js front-ends and Supabase / PostgreSQL back-ends, and hardening the result for real users. I own the whole surface — auth, row-level security, edge functions, API design, and deployment — so the AI features I build actually hold up in production.
I work the way modern software gets built: AI-native. Claude Code and Codex are part of my daily workflow for architecture, implementation, code review, and QA, which lets me move at founder speed without cutting corners on security or reliability.
I've shipped a full multi-component AI platform of my own (REDSNOW), delivered a production AI SaaS for a private client (AI AWARE), and replatformed a live jewelry store from Shopify to Webflow for a paying e-commerce client (Teddy Howler). I'm most effective working directly with founders — taking ownership of ambiguous problems and turning them into products people can rely on.
Two flagship AI products and a paid e-commerce replatform, owned end-to-end — built on 6+ years of software & automation engineering and a decade in technical operations.
I designed, built, and deployed REDSNOW — a full-stack AI operations platform — solo, from architecture to production. It turns natural-language intent into executed work across a cloud API, web dashboard, mobile app, and browser extension, orchestrating AI agents that plan, act, and report back. I built it to prove a thesis: AI shouldn't just answer — it should execute, safely, with the guardrails a real product needs.
I delivered AI AWARE, a production AI SaaS that uses AI-assisted analysis to detect scams and protect users in real time. I took full-stack ownership of the product — the AI detection pipeline, the secure Supabase backend, native mobile integration, and the production deployment — and drove it through security hardening, QA, and continuous delivery. The impact is measured in trust: users get a clear, defensible verdict on whether something is safe.
A paid freelance engagement to move a live jewelry store's storefront from Shopify to Webflow — StoreSync keeps Shopify running commerce underneath — without losing a blog post, a product, or a search ranking. Launched to production on teddyhowler.com across four paid phases, with the full cart → Shopify checkout flow validated end-to-end.
Not a list of demos — real AI products with architecture, security, and users behind them.
A full-stack AI operations platform that turns conversation into executed work across a cloud API, web dashboard, mobile app, and browser extension. Built solo, end-to-end.
A production AI SaaS built for a private client that uses AI-assisted analysis to detect scams and protect users, delivered through a secure backend and native mobile experience.
What I actually bring to an AI product team.
The full picture — production AI products, full-stack architecture, security, and shipping ownership — in a one-page PDF.
I'm open to Senior AI Engineer, AI Product Engineer, Founding Engineer, and AI Platform Engineer roles. Let's talk.