My work sits at the intersection of applied AI, cloud engineering, and product thinking. I design and build end-to-end AI solutions — from data pipelines and ML models through agent architectures, governance systems, and automated content operations — and I operate them in production at real cost and scale.
My background is in enterprise technology consulting — cloud migration strategy, application rationalization, infrastructure modernization for large-scale organizations. I spent years helping companies answer "what should we do with our technology stack" before AI made that question orders of magnitude more interesting.
Starting in 2024, I went deep on applied AI — not as an observer, but as a builder. Every project in this portfolio represents something I designed, built, deployed, and operated in a real environment against real constraints.
The Park Whisperer — a full-stack AI platform for theme park intelligence — is my personal production system. It runs 24/7 on a stack that spans Azure, GCP, and AWS, processes satellite data from a geostationary orbit, and generates daily AI content published to three social platforms. I built and operate every layer of it alone.
That experience of being the developer, the MLOps engineer, the architect, and the on-call operator simultaneously is what I bring to client work.
Every system in this portfolio has a real cost. I track it carefully and treat it as a first-class design constraint.