About
AI First Always!
I design it, then I build it.
My UX career has always been built on a simple premise: systems are only as good as the humans who use them. Early on, that meant tackling high-stakes environments like call center agent dashboards and consolidated hotel management applications. In both cases, people were working under intense pressure, juggling multiple data sources, and needing to make real-time decisions where a single mistake carried real financial costs. My job was to eliminate noise and deliver pure operational clarity so users could act immediately without getting bogged down in analysis.
Today, AI is facing that exact same structural challenge. Models can generate fast, complex insights at scale, but they still rely on human trust and clear framing to be effective. That "human layer" of an AI system isn't an afterthought it is the core product. Moving my focus toward prompts, pipelines, and model interfaces isn't a pivot away from UX, but its natural evolution. The mediums and tools are changing, but my focus remains the same: helping people make sense of complex information so they can act with confidence.
How I work
I join projects early, before the pixel decisions get locked. I map the problem with the team, draft the structure in low-fi, then push high-fi only when the structure is solid. Reviews happen on a shared Figma file or working prototypes with code. No PDFs, no slides.
What I care about
Density, legibility, motion that earns its place, and copy that tells the user what is happening without making them feel stupid. I’ve been told I have strong opinions about kerning.
AI first approach
I leverage AI tools to bridge design and working code simultaneously. It drastically speeds up prototyping so I can stay focused on the human side of the product — turning complex, heavy logic into clear and intuitive experiences.