Miguel Diaz

Full-Stack Product Engineer — AI Native Products

Building AI-driven workflows

I build products that simplify complex workflows, owning everything from idea to execution across frontend, backend, and AI.

I work at the intersection of product design, software architecture, and intelligent systems that are fast, scalable, and designed for real-world constraints. I prioritize simplicity over feature accumulation and focus on removing unnecessary complexity from products.

Recently, I've been working on AI-driven workflows that reduce operational cost by turning difficult, unstructured data—like messy or hard-to-transcribe text—into usable product input.

I started coding six years ago as a side obsession and moved into the industry five years ago. Since then, I've worked across the stack, gradually shifting from implementation to understanding how systems are designed, scaled, and evolved.

My curiosity extends beyond software into psychology, art, music, and philosophy, which shapes how I think about users, interfaces, and the role of technology in human experience.

I don't optimize for features, I optimize for clarity.

I move quickly from idea to execution and learn through building, not abstraction.

I focus on reducing complexity at every layer: product, architecture, and user experience.

No. 001The product engineerFour ways to make sure nobodyuses the product you just builtWhat I've learned after five years of solo developing techproducts nobody will ever use and how I finally stoppedField notes · 4 mins
April 20, 2026