I'm a UI/UX designer focused on data-driven products — dashboards, internal tools, and complex interfaces where clarity matters more than decoration.
Currently exploring the intersection of AI, UX, and product design — figuring out how non-deterministic outputs can feel trustworthy in high-stakes workflows.
I lead UI/UX (User Interface / User Experience) design across multiple cross-functional product teams — owning websites, brand identity, internal tools, and scalable design systems for B2B SaaS, fintech, and AI products.
I drive the end-to-end product design process: user research, wireframing, user flow mapping, information architecture, high-fidelity UI design, interaction design, and interactive prototyping in Figma — then document component specifications and design tokens for engineering handoff and own design QA after deployment to ensure pixel-accurate, accessible, on-brand delivery.
The best interface is the one that disappears. If a user has to think about how to use it, the design has already failed. I cut features before adding them.
Dashboards and tools exist to support a specific decision. I start there — what question is someone trying to answer? — and work backward to the UI.
A component is not done until it exists in context. I design tokens, patterns, and constraints so teams can build consistently without asking me every time.
