If your AI project is stuck in pilot purgatory, I'm the person you call. I build infrastructure that runs in production — eight brands, 18 countries, 25 million+ interactions a year — and consult with teams who need it to actually work.
Hover each card for context.
Job application copilot. Voice-matched cover letters and ATS field capture. Each application gets a tailored pass, not a bulk blast.
Privacy-first browser dashboard for AI-generated artifacts. Runs entirely in the browser — no server, no tracking, no login.
Repair shop operations platform with three roles: intake, technician, and customer status. Built in one day, running in the field.
Tooling layer for Genesys Cloud administration and Google Workspace automation, with AI orchestration built in.
Applied AI consulting practice for Northern Colorado. Workshops, literacy sessions, and hands-on production builds.
Multi-agent platform where one agent challenges, one defends, and a third synthesizes the output. Evaluated across 48 test categories.
Model recommendation service and editorial. Find the right AI model for your use case — reviews, comparisons, and picks from someone who runs them in production.
Multi-model routing and comparison. Pick the right model for the job without changing your workflow.
Text-to-speech utility infrastructure. Fast, clean, deployable to any shared host.
Single-model systems produce confident answers even when wrong. Running agents in structured disagreement surfaces those gaps before they reach customers. The logic is simple: if the challenger can't break the defender's position, the output is trustworthy. If it can, the synthesizer catches it.
The architecture is model-agnostic by design. Models are swappable. The debate structure and evaluation layer are the actual asset.
I've never worked somewhere that handed me a finished system and asked me to maintain it. Every role has been some version of: here's a mess, figure it out. That's not a complaint — it's where I learned everything. At Dell it was a phone system sprawl that had outgrown anyone's ability to understand it. At KPMG it was a federal healthcare operation standing up in real time during COVID. At HelloFresh it started as platform ownership and became something I didn't have a job title for yet: the person who decides whether the AI vendor is telling the truth, builds the alternative if they're not, and ships it before the next budget cycle.
Based in Berthoud, Colorado. Remote-friendly.