I Build Products People Love.

Product & Design Lead at Womp 3D.
Building Kookie UI, KookieAI, KookieBlocks
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I believe AI is a leveler—it lowers the barrier between an idea and something real. I believe in building over talking, in efficiency, in shipping fast, because time matters. I believe AI will let more people do meaningful work —not just specialists.

At Womp, I’m learning every day how design, product, and engineering fit together. AI lets me move between roles when needed, so I can keep momentum without slowing the team down. That’s why I started KookieUI—to make work faster and more consistent. We’re already using it in production, and I’m still figuring out how to make it better.

Womp

I'm currently leading product and design at Womp 3D. We're trying to make 3D creation accessible to everyone. Our team of artists, designers, and engineers started with our own frustrations with 3D tools and are working to build something everyone can use.

2+ years

Womp launched publicly over 2 years ago. We're still learning how to make 3D design accessible to everyone.

500k+ users

Over 500k creators have registered on Womp. We're trying to serve everyone from complete beginners to professional 3D designers.

100k+ projects

The Womp community has created more than 100k shared projects. We're still figuring out how to build the best ecosystem for 3D creators.
Womp 3D Design illustration 2
Coming SoonBeta

Kookie UI

KookieUI is a design system I'm building to make design rules explicit. It's still a work in progress, but already helping keep Womp faster and more consistent.
KookieUI

Shipping Products That Scale

I combine product strategy, design thinking, and engineering skills to build products that actually help people—faster, more consistently, and at scale.

Things I've Learned (So Far)

Building at Womp has taught me a few things about users, tech, and business. I'm still learning every day, and most of this is work in progress.

AI-First Product Thinking

A lot of AI products today just layer AI on top of existing workflows. That’s fine, but I think the harder question is: what can AI make possible that wasn’t possible before? At Womp, we’ve tried both approaches. Some of our experiments worked because we started by asking what AI was uniquely good at, rather than treating it as an add-on. Other times, we ended up with features that looked interesting on paper but weren’t actually useful. It’s tricky. Doing this well requires more than excitement about AI — it requires enough technical depth to know what’s real and enough product sense to know what matters to users. I don’t always get that balance right. I’m still learning how to spot the difference between something that’s technically impressive and something that’s actually valuable.

How I Help Startups Move Faster

I try to combine technical depth with product strategy to help teams ship quality products quickly—though I'm still learning how to do this well.

One Person, Many Hats

I’ve had to play PM, designer, and tech lead at once. It cuts down misalignment because I can see trade-offs across roles. But juggling everything is messy — I drop things, I overextend — and I’m still learning how to balance it better.

Behavior Over Opinions

At Womp, I’ve seen users say one thing and do another. Watching how they actually use the product reveals more than surveys. But it’s not always clear — interpreting behavior is tricky, and I get it wrong often before I get it right.

Saying No, Even When It Hurts

Every new feature adds clutter. I’ve had to say no more than yes, even when it’s uncomfortable. Sometimes I regret those calls, but a focused product that solves a few problems well beats a bloated one that solves none clearly.

Learning Through Shipping

Most things we ship at Womp aren’t elegant. They’re meant to teach us. Shipping fast creates real feedback; debating endlessly doesn’t. The balance with quality is still hard — I don’t think we’ve mastered it — but the learning has been worth the mess.

Prototypes Answer Faster

I’ve found rough prototypes resolve debates better than meetings. Even imperfect builds give direction. It’s not always practical — some things need planning — but more often than not, building early saves weeks of talk.

Between Tech and Product

My CS background helps me know what’s feasible, but I don’t stop at constraints. I try to translate them into product terms so decisions stay user-focused. I don’t always get it right, but bridging the gap keeps us from chasing dead ends.

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