A companion to my resume. Five minutes here show you what fifteen bullet points can't.
I'm an operator who builds. For 15 years I've run complex programs at Apple, Capital One, and the University of Colorado, and I now spend my nights building working software with AI. I'm looking for a senior strategy and operations seat at a company that treats AI as the default way work gets done. This page is the evidence.
The problem: Content review is a bottleneck in every regulated or brand-sensitive business. Humans review one asset at a time, standards live in PDFs nobody reads, and the riskiest violations (an undisclosed paid post, an overclaim about safety) look identical to compliant content at a glance. I ran this exact review process for marketing content at Capital One.
What I built: I codified Engearment's brand voice and FTC disclosure rules into a machine-readable rubric, then built a Python tool that sends content to the Claude API and returns structured findings: pass or flag, severity, the specific rule violated, and a suggested fix written in Engearment's own voice.
The result: Against a 9-asset test set with a hidden answer key, it went 9 for 9. It caught both high-severity landmines, including an undisclosed sponsorship, and correctly passed a gifted-but-disclosed post that looks nearly identical. Built in one weekend.
The problem: I'm training for a 50K in the Sawatch range, and no existing tool would generate trail loops near me with the filters I actually wanted (distance, vert, and a way to exclude everything below 8,000 feet).
What I built: A full web app with topographic maps, click-to-build routing that snaps to real trails, elevation profiles, and a Discover mode that finds trailheads near you and generates candidate loops. Routes export as GPX files straight to my watch.
The result: I ran a generated route up Mt. Flora and the line on my watch matched the trail under my feet. I use it weekly for training. The code is public at github.com/cfarnz/route-builder, and I wrote about the build in So I Built It.
Scaled a marketing engine 4x. At Capital One I redesigned the intake-to-launch process for campaign production, automated the handoffs that kept breaking, and wrote the cross-team playbooks. Output quadrupled without headcount growth, and measurement improvements lifted ROI 40%.
Piloted Apple Pay in retail. As a GM leading 160+ people, I ran one of the retail pilots for Apple Pay before its global rollout. Field readiness for a payments launch means training, compliance, hardware, and customer experience all landing on the same day. It landed.
Right hand to executives. At Capital One and now CU Anschutz, I've been the de facto chief of staff to senior leaders: running their operating rhythm, authoring decision documents, and turning ambiguous priorities into governed programs. Currently leading an org-wide SaaS budgeting platform implementation.