I take products 0→1 as a solo AI-first product engineer — evidence-led research, interaction design, design systems, front-end engineering, agent architecture, and deployment.
Every product here started with a real problem and real source material, not a moodboard. When I build AI features, the output has to be traceable back to something a human actually said or published — that constraint shapes the architecture, not just the copy.
I don't hand off. The interaction model, the design tokens, the component API, and the deployed front end are the same decision expressed four times. Doing them together is what makes shipping in days instead of quarters possible.
AI does the assembly. A person approves the result. Every agent I've built has explicit approval gates, because a system that can't be stopped is a system nobody trusts in production.
Every case study here is a live product, indexed and learning from real traffic. Nothing is a portfolio mockup.
