AI engineer and product builder
I'm an AI engineer and product builder in Salt Lake City, Utah. I work at Marshall & Stevens and build products through Cannon AI.
My work sits between AI systems and product design: the automation underneath, the interface people touch, and the context that helps an agent do useful work. I'm especially interested in making these systems easier to understand and trust.
Context engineering
Cortex AI
Sources
Useful work
My private context-engineering system. It turns projects, notes, meetings, and decisions into inspectable context that agents can use without starting from zero.
Private system · public technical boundaries only
A local-first macOS meeting recorder with one compact HUD for recording, live notes, and project time. No meeting bot and no required cloud recording.
macOS app · public download follows the current build pass
A growing set of Shopify systems for a niche e-commerce retailer, beginning with a supplier-catalog pipeline the owner can run without me.
Anonymized case study · client system stays private
You can browse my code on GitHub, follow my work on LinkedIn or X, and read longer notes on Substack.
The best way to reach me is email. You can also schedule a conversation or read my résumé.
I grew up in Draper, Utah, transferred to the University of Tennessee, and moved from finance into Applied AI. I walked in May and I'm finishing the last six credits this summer.
I move quickly with modern AI tools, but I care most about the durable parts: understanding the workflow, shaping the product, and building systems that still work after the demo ends.
Away from the screen, I'm usually golfing, hiking, skiing, watching a movie, or getting too competitive over ping-pong with my brother.
Founder
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AI Implementation Intern, then AI Engineer
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