I translate what's technically real into decisions executives can act on — now applied where agentic AI meets production, and adoption gets tested for real every week.
Ten years across software engineering, solutions architecture, sales engineering, and AI consulting — not a straight line, but each layer sharpened my ability to spot what's actually broken. Most people see symptoms. My job is finding the cause.
Today: I'm a Solutions Engineer at Resolve.ai. My work now sits at the edge of agentic AI in production — helping enterprise teams evaluate what these agents can actually do, make the case for putting them to work, and adopt them where it counts.
Also: constantly building things for fun. Side projects, tools that shouldn't exist but do, experiments that scratch an itch. The kind of tinkering that quietly makes me sharper.
I'm a Solutions Engineer at Resolve.ai, where AI agents run production software — on-call, incident response, and the operational work that used to eat engineering time. My job is getting enterprise teams past the pilot stage and into adoption they actually trust.
I sit between the engineers building the agents and the executives deciding whether to trust them with production — making the technical case, proving it in their environment, and driving the adoption that turns a pilot into something teams rely on.
Short, focused engagements to figure out where AI actually fits in your organization — and where it doesn't. I map the real workflow, not the assumed one, before recommending anything.
When a team needs to see it before they'll believe it, I build the thing — a working prototype scoped tight enough to ship fast and prove the ROI before a bigger commitment gets made.
Deployed isn't done — used is done. I help teams get past the pilot stage into adoption that sticks, translating the technical reality into decisions leadership can act on.
Keynotes, workshops, and team sessions on AI strategy, agentic AI in production, and what it actually takes to get an organization moving — grounded in what I'm seeing on the front lines every week.
The field isn't always an office. My observations, experiments, and honest thinking on AI — from the front lines of enterprise AI adoption, personal projects, and everywhere in between.
If you're thinking about consulting, an AI adoption push inside your org, collaboration, or something you haven't quite figured out how to frame yet — I'd love to hear it.
In my experience, real AI adoption requires two things: a strategy that leadership can execute, and individuals who actually want to use it. Both matter — and now that includes what it takes to trust AI agents running in production, not just pilot them. I'm available for keynotes, workshops, and team sessions on AI strategy, agentic AI in production, and getting the entire organization moving.