Implementation, Control,
and Practice
Production software, delivered fast — with support that runs on AI, not headcount.
Book Appointment30+ Years Tech Experience. Two modes: I build it for you, or I work alongside you until you can build it yourself. Either way, the engagement ends with something real — working software, a fixed system, or a team that knows what it’s doing.
Six of those years were spent managing infrastructure and technical support operations — the part of the job where systems break and someone has to own the outcome. That background shapes how I approach AI work: I design for what happens when things go wrong, not just when they go right.
My focus is control: how models behave in real environments, where workflows break, and how to design systems that keep humans in charge of outcomes.
This is not tool evangelism. It’s practical leverage — architecture, implementation, and hard-won judgment — using the models available today.
Build & Deliver
I build it. You ship it. Bring a project, a broken workflow, or a problem you haven't been able to solve. I architect and build the solution — production-grade, not a demo. Small-company budget, big-company feature set.
- Web apps, APIs, and backend systems
- AI integrations into existing products or workflows
- Autonomous post-launch support, powered by Fire — not a ticket queue you have to staff
- Correcting unstable or poorly designed AI implementations
- Architecture reviews with concrete output
- MVP development from concept to working software
Transfer & Uplift
I build it with you. We work on your project together. You leave with a working system and the knowledge to maintain, extend, and build the next one yourself.
- Hands-on AI development workflow from scratch
- Building and controlling agents in real environments
- Understanding failure modes before they hit production
- Translating intent into reliable, repeatable system behavior
- Upskilling a technical lead or small team
Support That Doesn't Need You
Every build ships with a support layer that runs on Fire — the same model-agnostic inference engine already running production traffic across five live products in the Modus suite. Your customers get answers, your system gets watched, and you don't make a first support hire to make it happen. It isn't a pitch — it's the same engine, pointed at your product.