System intelligence
Exploring how AI can help teams navigate tokens, components, documentation, and system decisions without obscuring the source of truth.
Senior product designer & systems thinker
I work across product design, design systems, and brand. I turn emerging technology and complex systems into thoughtful, intuitive experiences. My background in branding brings a strong visual point of view to how products show up in the world.
Selected work / 01 to 03
Runway
I audited type and spacing across Creator, Consumer, and Brand, then built one responsive model designers and engineers could share.
Read the case study ↗One Twilio
I helped research, define, and test a shared product language for Twilio's growing suite, so moving between products felt more like one company.
Read the case study ↗
Network intelligence
I turned research on recurring broadband issues into a proactive network health vision, so customers could see what was wrong and know what to do next.
Read the case study ↗
AI practice / Design perspective
I use AI to explore systems, make complexity easier to navigate, and test interaction ideas earlier. The goal is not automation for its own sake. It is better judgment, clearer tools, and more room for people to do meaningful work.
Exploring how AI can help teams navigate tokens, components, documentation, and system decisions without obscuring the source of truth.
Designing for clear intent, useful feedback, visible uncertainty, and graceful recovery when intelligent systems get it wrong.
Using working experiments to find the right interaction model early, before a polished interface makes the wrong idea feel finished.
Selected identities / 01 to 04
Profile / Experience
I'm a senior product designer and systems thinker at LTK. I started in branding and editorial design, and that background still shapes everything I make. I care about clear hierarchy, thoughtful details, and products that feel as good as they work.
I love the messy middle: finding the shape of a problem, making complex things easier to understand, and building systems people actually want to use.