The real risk is not adopting AI too slowly. It is automating the wrong thing and making the business harder to run.
Hands-on technical operator. I build AI-powered operations for companies that need to move faster and think more clearly about technology.
I’m an engineer with 15 years of experience across every layer of the stack: cloud architecture, infrastructure, DevOps, CI/CD, and AI systems. I’ve worked at Fortune 500 companies, including seven years at a major industrial corporation, and at World Kinect, one of the largest fuel distribution companies in the world. I’ve also been part of startup teams, including one that scaled to a billion-dollar valuation.
Across that career, the work I’m most proud of is operational: automations that replaced days of manual work, CI/CD improvements that cut feature-to-production time dramatically, and systems that scaled without adding headcount. By most estimates, that work has saved more than $20 million across the companies I’ve been part of.
Now I focus on AI operations: building the workflows, integrations, and infrastructure that let businesses move faster with less friction. That means n8n, RAG pipelines, system prompts, and the practical judgment about what to build, what to buy, and what to skip. I build things. I don’t just advise.
I work with founders and operators whose businesses are growing faster than their operations, where manual processes and technology decisions keep landing on leadership.
“The real risk is not adopting AI too slowly. It is automating the wrong thing and making the business harder to run.”
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