The honest
version
Here's something I say in almost every AI conversation that makes people uncomfortable: AI isn't as reliable as you think it is.
It hallucinates. It drifts. It performs beautifully in a controlled environment and does something completely unexpected the moment a real user touches it. The companies winning with AI right now aren't the ones who deployed a model and walked away — they're the ones who treat it like a production system that needs constant monitoring, retraining, and someone paying close attention. That's the lens I bring to everything I build.
Stitch America is a family business. I joined to modernize it — not "add a dashboard," but build the AI infrastructure from scratch, on top of a decade of legacy systems, with no greenfield luxury. When I built the RAG chatbot, I was connecting a language model to a legacy SQL CRM that wasn't designed to be queried in natural language, in a live production environment that couldn't go down. The test environment worked fine. The live deployment didn't. That gap is where I learned the most.
I've taken that work beyond Stitch America too — deploying a Claude-based multi-agent system for a pharmaceutical client's API modernization and security assessment, building AI-assisted websites for law firms, and handling digital automation for political campaigns at the state and federal level.
I stayed because the work was real and the stakes were real. I've led teams of up to 10, managed budgets over $2M, and still write the architecture. Now I'm ready to take what I built and lead a team doing it somewhere new.
Before Stitch America, I was on the Apple Maps global launch team in Knoxville — triaging geospatial defects at scale and onboarding technicians. The team hit the district's highest NPS (93) two quarters running. That's where I learned what shipping something real, to real users, actually feels like.
B.S. in Business Administration, University of Tennessee. IBM Machine Learning certification (June 2025). Currently completing AWS Solutions Architect – Professional and Azure AI Engineer.