I'm a software engineer and CTO at Enigma Finance Project, where we're on a mission to improve financial lives globally. We build proactive AI assistants for personal finance and market intelligence platforms to democratize data-driven decisions.

I grew up in Mexico, where I developed a deep fascination with how systems work at scale. Clean Architecture and domain-driven design became more than patterns to me—they became a philosophy for building software that lasts.

My journey started at Muttech Solutions, where I built SEC V2 and an AI-powered dialing system with IBM Watson. That experience showed me the potential of integrating AI into production systems before it was mainstream.

I then built Justicia Laboral from the ground up—a platform that uses context-aware AI to help companies interact with their legal data and automate contract generation. It taught me that technology should democratize access, not gatekeep it.

At Finexitus, I dove into Machine Learning, creating models that predicted contract renewals and implementing Clean Architecture in enterprise systems. I increased contract completion by 60% through SignNow integration and data-informed design.

Today, I'm architecting three interconnected systems at Enigma Finance—integrating Plaid for US markets, building daily workloads for financial recommendations, and leading a team focused on AI-first, maintainable code.

I also teach. Over 2,000 developers follow my YouTube channel where I document how I architect scalable systems. I believe knowledge compounds when shared.