// BIO
I'm an engineer. For the last several years I've built and led the delivery of AI systems for legal, compliance, and government-services clients — document pipelines, AI-assisted review workflows, and policy platforms where being wrong has real consequences.
I started AI Accelerate because of a pattern I kept seeing: every quarter, AI creates new specialist functions that companies can't hire for fast enough. The talent doesn't exist yet, or it's priced out of reach. My belief is that these functions can be engineered as systems — built once, handed over, and owned by the client instead of rented from a vendor.
How I work is simple and deliberate: NDA-first, so you can talk freely about the messy internals. Weekly demos, so you always see where things stand. And full handover at the end — your code, your prompts, your infrastructure, your documentation. No black boxes, no lock-in.
// THE_SPECIALIST_GAP
AI keeps inventing roles faster than the market can staff them.
A growth engineer who runs signal-based outbound. An AI-search strategist who gets you cited inside ChatGPT. A compliance data engineer who turns raw ERP data into assurance-ready reporting. These are real functions with real demand — and almost no one to hire for them.
> So we engineer them instead. Each becomes a system you own and control, not a dependency you rent. That's the whole thesis behind AI Accelerate.