I help teams move from AI interest to adopted workflow: discovery, implementation planning, AI-assisted build direction, validation, enablement, and measurable outcomes.
I have 10 years across enterprise SaaS, healthcare GTM, technical scoping, multi-stakeholder customer work, and practical AI-assisted workflow building.
My path is intentionally not traditional engineering. My edge is translating ambiguous operating problems into workflows that non-technical operators can use, trust, and improve.
The case studies are proof of workflow judgment. They show how I define the problem, guide AI-assisted implementation, validate outputs, and drive adoption.
They are not meant to imply independent production coding ownership.