I'm a technology leader who builds things. Not decks about AI - actual systems: MCP servers, agentic workflows, Data pipelines, AI-powered tools. I've worked across product and engineering for 20 years, and the last few have been heads-down in the AI layer of the stack. I care a lot about engineering effectiveness - using SEI and metrics to understand how teams actually work, where the friction is, and what levers move the needle. Cycle time, deployment frequency, review depth, planning accuracy - the numbers tell a story most leaders aren't reading. I work best with engineering leaders and founders who are trying to figure out where AI fits in their product or team, how to measure what's working, and how to move faster without the hype. I've made enough wrong calls to give you a more honest picture than most. Book a slot or drop me a question.