I build intuitive and elegant AI-native products from the ground up. Previously at Sigma, Tulip Interfaces, and Samsung. Currently based in the Bay Area. When I’m not designing, you will find me plant-hunting, powerlifting, and sourcing seasonal finds at Trader Joe’s.
Transformed complex and disconnected workflows into an opinionated orchestration system with ready-to-use, customizable flows. Made sophisticated automation accessible to non-technical GTM teams without sacrificing power-user capabilities.
Solo designed and built the company’s ABM agent on Claude Managed Agents—from system prompt, memory, and skills to a focused non-chat agent experience.
Designed the market’s first customizable AI fit scoring. Users can backtest scoring logic, understand why accounts match their ICP, and compare multiple scores.
Visualized the intelligence layer atop our data model with transparent scoring and intent surfaces, making AI decision-making visible, actionable, and trustworthy.
Created Sigma’s first design system for end users, enabling data analysts to build accessible, user-friendly data apps directly in the product.
Led end-to-end design for removing duplicate rows in workbook tables, reducing clicks by 92% and resolving pain points reported by 32 customer organizations.
Designed an account overview for Tulip’s move to usage-based pricing, helping executives and administrators understand usage, spot account health issues, and take action.
Redesigned Tulip Player as an iOS app for frontline workers, making mobile deployment simpler, glove-friendly, and reliable enough to earn five-star App Store reviews.
Designed a virtual human assistant that streamlined meal ordering for hospital patients in partnership with Aramark Healthcare.
Designed and coded an iOS app for noticing color in the world, privately archiving it, and trading postcards with strangers who noticed too.
Designed and coded an experimental kitchen gadget for smarter plating with a Raspberry Pi, projector, camera, and AI.
