A case study in evolving a single-purpose rendering script into a spreadsheet-configurable, standards-compliant overlay generation system, covering the architecture decisions, data modeling choices, and interface tradeoffs behind tooling that non-engineers can operate independently.

Leadership gave us two weeks to deliver a product — not a plan, not a theory, a product. What followed was a masterclass in why the simplest question in the room is usually the most valuable.

My resume doesn't follow a straight line and never has. Here's why I think that's exactly why it works.

From solo experiment to Division-wide AI program — pioneering generative AI adoption across the 78th Training Division and the U.S. Army Reserve.

We spent months building and training for this. Then we took it to the field with 12,000 soldiers, 93 senior staff, and everything on the line. By Day 3, we had our answer.

Leadership wanted "something AI." They got an intelligence platform that changed how the entire organization thinks about what's possible.

My supervisor threw down a challenge: take a raw Zoom meeting transcript and convert it into production-ready Salesforce validation rules using AI. No playbook, no precedent. Here's what it actually took.

Most organizations aren't failing at AI because the technology isn't ready. They're failing because they skipped the work that had to happen before the technology ever entered the room.

On my first day in a new role, I watched managers run their entire operation off hand-transcribed sticky notes. That was the moment I knew exactly what needed to change — and how.