Some people stop and smell the roses (me). Others tend to pay attention to the chairs (also me). There’s so much in the world worth stopping for. I’ve learned you never know what it might inspire.
That instinct runs through everything I do. I’m a product builder, maker, and organizer, but fundamentally I’m interested in people. In our experiences of and with the world, how we navigate our lives, our capacity to learn, grow, make, and create.
Applied to technology, that means caring about what gets built, how it’s deployed, and who gets to benefit. I think about things holistically, with an understanding of people from an empathetic perspective, to create experiences that foster imagination and curiosity.
The through-line
Oracle — enterprise design systems
Six years building WCAG-compliant components for over 8 million users, where accessibility isn’t a compliance checkbox but the foundation everything is built on.
Clarke — AI companion for older adults
An AI companion designed around what older adults actually need, prioritizing competence over dependency and autonomy over exclusion, rooted in design research about why systems fail the people who need them most.
Elephant — adult literacy tool
A literacy tool built entirely from the science of reading, designed for adults rather than borrowed from children’s curricula, grown directly from weekly tutoring at the Brooklyn Public Library alongside real learners.
Yoga and Cake — community in physical form
A monthly event series creating space for people to move mindfully and be with one another. True to form, I built the app that makes running it sustainable.
The arc
Cognitive science. UX research. Years of product management at enterprise scale. Independent builder and community organizer.
The constant: understanding how people think, learn, and decide. Building things that meet them there. Living directly inside the problems I’m solving.
How I build
My building takes a lot of forms and is largely iterative. Trying different tools and approaches to find what fits. Directing AI-agent development cycles, mocking up visuals in Figma or Canva, sketching on paper, adjusting deployed prototypes. Hands-on from intent to working software.
The approach is straightforward: live in the problem first, feel it out, and build around solutions that solve problems and feel alive.
Values
Empathy-driven
Starts with people and their actual lives, not features.