Product Designer & Builder
I design, prototype and build AI products end-to-end, from the messy problem to the shipped screen.
Complex UX flows, web apps, and design systems. I research the user, map the journey, write the spec, then build the front-end with AI-assisted coding. Web3 products first, AI-native tools now.
Selected work
Across health, AI infrastructure, Web3, marketplaces and language: from a shipped product used at scale to tools I research, design and build solo. Status is stated honestly. What shipped is marked shipped; what's in progress is marked in progress. Newest first.
A voice-first AI mirror, not another chat box: a companion you talk to out loud that remembers you, reads how guarded you're being, and reflects instead of flatters. One reply, produced by three layers arguing behind the glass. Try the live demo.
A privacy-first iOS app that turns the panic of sudden hair-shedding into a structured, doctor-ready evidence record: shed counts, aligned photos, labs and a trigger timeline. An AI readout helps interpret the data without ever seeing the photos.
An AI memory operating system for makers. It tracks project state, decisions and momentum across the tools you already use, shipped as an open-core npm package plus a live, security-reviewed cloud. It is the system I use to run everything else here.
A bilingual (EN / ID) marketing site that positions frozen produce as a luxury good for Indonesian Horeca buyers: cinematic WebGL hero, editorial pacing and city-targeted local SEO. Live in production.
A self-custodial Bitcoin wallet that lives in a browser extension, taproot and Lightning enabled. There is no "forgot password" in self-custody, so every flow had to make irreversible actions feel calm, legible and safe. It grew past one million wallets created.
The first Bitcoin-native NFT marketplace, built on RGB smart contracts. I designed the interface that made a brand-new asset class feel obvious: browsing, minting and owning digital art settled directly on Bitcoin.
How I work
Every product above ran through the same pipeline: a design operating system I built and use on each project. It turns a vague problem into structured, buildable specs, and keeps brand character consistent across products as different as a health app and an AI infrastructure tool. Design isn't decoration here; it's a decision trail.
Discovery and research come first: the real problem, who actually has it, what they do today, and where the gap is. The problem must be the user's, never the builder's vision.
One or two named personas with goals and behaviours, then a journey map of scenes, feelings and the moments where trust is built or broken. Decisions get a face to answer to.
Solution and flow: every feature traced to a pain point, an MVP that's the smallest thing a user would find genuinely valuable, and a screen-by-screen map with no dead ends.
Brand personification first, visual expression second. If the brand were a person: how do they walk into a room, how do they speak? Every token, motion and copy choice answers back to that.
I build the front-end, then review the result against the spec: not "does it look nice" but "does the intended feeling land?" If the foundation is wrong, it gets re-found, not nudged.
Feedback and metrics close the loop. Every correction becomes a reusable rule, so the next product starts smarter than the last. The process compounds.
Experience
Two products: DIBA, a Bitcoin-native NFT marketplace, and Bitmask, a self-custodial wallet
Ripe CO, design studio
Self-directed
About
I'm a product designer who builds with AI-assisted coding, so I can carry an idea from the first "what's the real problem here?" all the way to a working, shipped screen.
I started in Web3, designing DIBA, a Bitcoin-native NFT marketplace, and Bitmask, a self-custodial wallet. That is where I learned to make complex, high-stakes flows feel calm and trustworthy.
My background is UX and product design, but I increasingly work across design and implementation. For the last two years I've designed and built AI products end-to-end: researching the user, mapping the journey, writing the spec, then building the front-end with AI-assisted coding. I even built my own design operating system to keep that process rigorous and repeatable across very different products.
I care most about products where the stakes are real (health, money, trust) and where good UX is the difference between a tool people fear and one they rely on. That's the work I want to do next.