Solutions Architect · AI apps & agentic development
From Business Pain Points to AI Pilots People Use
On most AI projects I've worked on, figuring out the problem took longer than figuring out the model. I start there, take it to a pilot that holds up with real users, and set up the tooling so teams can build their own. Thirteen years of data and AI engineering keep it grounded in how the tech behaves.
My Playbook
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Find the Problem
Spotting which AI problems deserve a pilot.
I sit with teams and run AI agents over market research, bug reports and support issues, then frame what keeps coming up as a use case and business case.
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Pilot It With Users
Testing an idea with real users before it reaches a roadmap.
I direct AI agents to build a first version in days, then put it in front of the people who would use it.
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Get Teams Building
Tooling and coaching so business teams build their own apps.
I set up the agentic coding lifecycle and the AI platform behind it, and help with the coding and the prompting.
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Teach What Works
Tracking the AI market and explaining it in public.
I turn provider, research and market moves into briefs, videos and workshops, for developers in public and teams in-house.
