About
My career doesn't follow a straight line — and that's the point.
I studied Computer Science in college, got bored, and switched to Philosophy. After graduating from the University of Maryland, I fell into enterprise sales at ADP, where I quickly learned I had a knack for understanding both people and systems. I made President's Club at 23 and realized something: the best salespeople aren't the smoothest talkers. They're the ones who understand the product deeply enough to solve real problems.
That realization took me to AWS, where I spent three years selling cloud infrastructure and AI/ML services to SaaS startups. I grew my territory from $52M to $90M, got selected as an AI/ML Technical Field Expert, and trained a team of 25 sellers on services like SageMaker and Rekognition. But I kept getting pulled toward the building side. I wanted to be in the room where the decisions were being made, not just the room where they were being sold.
So I left AWS to join Cloudthread (YC S21) as employee #1. I built a $2M pipeline from scratch, hired and managed a sales team, and worked side-by-side with the founders on product strategy. Then I did it again at Numeral (YC S23), where I helped scale from $0 to $4.5M ARR in under 12 months as Head of Product & GTM.
In late 2024, I was burned out. I'd been caring for a family member with Alzheimer's, a dream job had fallen apart, and I was seriously questioning whether I was built for this industry at all. Then an old wrestling buddy — Joe, the CEO of Fulfill.com — texted me. What started as casual conversations turned into consulting, then momentum, then me joining as Head of Product.
At Fulfill, I rediscovered what work could feel like when the people and the problems are right. I launched an AI-powered matchmaking engine that increased opportunity throughput from 7 to 125 per day, wrote production React/Next.js code and merged PRs directly, and built custom AI agent workflows that automated our entire engineering lifecycle.
Today, I also run DeployedEngineer.ai, where I embed directly with 20-100 employee non-tech businesses — manufacturing, logistics, healthcare — to replace manual, spreadsheet-heavy workflows with custom AI-powered systems. I architect, build, and deploy production-ready solutions over 3-month engagements, then transfer full ownership to the client.
The common thread through all of this: I sit at the intersection of business and technology, and I'm most useful when I can bridge the gap between the two. Whether it's speaking on stage, writing on Substack, or shipping code at 2am — I'm always trying to make powerful technology accessible to the people who need it most.
How I Work
Speed over perfection
I'd rather ship something imperfect today and improve it tomorrow than spend a month architecting the "right" solution. The best systems aren't born from brilliant planning — they evolve from consistent, imperfect action. I wrote a whole essay about this.
Earning trust through candor
I'll tell you what I think, even when it's uncomfortable. The best working relationships I've had — with co-founders, clients, and teammates — were built on radical honesty, not diplomacy. If something isn't working, I'll say so. If I don't know something, I'll say that too.
Human-in-the-loop AI
I'm deeply optimistic about AI, but I believe the best systems keep humans in the loop. AI should augment human judgment, not replace it. The most impactful AI deployments I've seen are the ones where technology handles the grunt work and humans make the decisions that matter.
Get in touch
Whether you want to book a talk, discuss a project, or just say hi — I'd love to hear from you.