The Story

I spent a year in electrical engineering at ASU (2015-2016), then pivoted to software through Hack Reactor in LA in 2018. After that I built my own practice - The MASS Lab - taking on client projects and building internal products.

The MASS Lab is my engineering practice - where I take on fractional CTO engagements and build internal products like MASS Lead Connect.

Along the way I worked at Inter-Con building Python APIs on AWS, became lead engineer at Beat The Odds building a real-time fantasy sports platform, and shipped platforms for clients ranging from yacht transport logistics to nonprofit financial literacy.

The shift to AI-native development changed everything. Starting with GitHub Copilot and evolving to Claude Code as my daily driver, I went from building features to shipping entire multi-tenant SaaS platforms solo. 3,000+ commits across 20+ active repos - not by cutting corners, but by giving AI deep autonomy while maintaining senior-level review on every line.

Currently pursuing a B.S. in Cybersecurity at WGU while continuing to ship.

My workflow is built around Claude Code with a custom configuration I've refined over months: 11 slash commands, 6 specialized agents, and 4 safety hooks. The /ship pipeline handles everything from code generation to security review to deployment.

I give AI deep autonomy - but every line gets senior review. Tests, types, and security passes are non-negotiable. The result is a development pace that lets one engineer do what typically requires a team, without sacrificing quality.

Open to full-time senior or principal engineering roles, applied AI positions, and fractional CTO engagements. I'm interested in teams where AI-assisted development is a core competency - not a novelty.