Charleston native, Clemson grad, and an AI builder who ships production systems at Amazon by day — here to teach local professionals how to put AI to work — and walk out with an AI chief of staff.
Products covered in: TechCrunch · Techstars · AWS re:Invent · Apple
Ryan grew up here — Wando High School, then Clemson, then a technology career that led right back to the Lowcountry. When he runs a cohort, he isn't flying in for the weekend; he's a neighbor who does this for a living.
He's worked with AI since 2020, well before it was a headline. Today he builds production machine-learning and AI pipelines at Amazon, and he's shipped real products of his own — most notably SmallGarden, an automated indoor garden that went from a garage to the shelves at Apple, with a Shark Tank pitch and an AWS re:Invent talk along the way.
That's why this workshop works: he's an engineer who builds this for a living, translating it into plain English and practical workflows you'll use the very next morning.
ML and AI pipelines for large-scale file processing — the plumbing that keeps AI reliable at scale.
Presented the ExpressLink service at AWS's flagship conference.
SmallGarden: an automated indoor garden that scaled on AWS and launched at Apple.
Pitched a real, shipping product on Shark Tank — not a concept.
AI assistants, news tools, and machine-vision QC — shipped years before the hype cycle.
Data-warehouse AI, ML models, rendering pipelines — projects without a playbook.
Ryan teaches the way he works — real, repeatable workflows, not slideware and theory.
The same rigor he brings to production AI at scale, slowed down for your actual desk.
No hype, no jargon. If it won't save you time on Monday, it doesn't make the class.
Cohorts are kept small on purpose, so everyone gets time with Ryan directly — not a teaching assistant, not a recording.