I synthesized 50+ real-world AI use cases into an AI Design Playbook — establishing a shared reference for AI adoption across the end-to-end product design workflow. From ideation to delivery, I have a deep, hands-on understanding of where AI can be meaningfully applied at each stage.

My practice is grounded in core AI design principles: transparency of AI usage, clear communication of system status, embedding AI features as a natural part of the workflow rather than bolted-on additions, and designing for multiple input modalities. Beyond product work, I've automated many DesignOps processes through agentic workflows, and vibe-coded dozens of apps — giving me a uniquely fluent perspective on what it takes to design with and for AI.

I design with outcomes in mind. You'll never see me work on a project without getting some baseline values on what we're trying to fix. Whether it’s reducing time-to-value, improving retention, or validating new opportunities, I use design as a tool to move both business and user metrics. I’m comfortable in ambiguous problem spaces, and I partner closely with product and engineering to define what success looks like. Then I run quick experiments, measure, and iterate our way there.

Helping others and being "the connector" brings me tons of fulfilment. I’ve mentored 20+ creatives, coached junior and senior designers alike, and created spaces for honest feedback and growth. Outside of work, I also founded a grassroots tech community to help people connect and learn and ran more than 50 events in my lifetime.

It's so important to me to ensure my work is accessible to people with disabilities. I strive to create designs that meet WCAG 2.2 AA accessibility standards and enhance user delight across responsive platforms. I shift accessibility left, also training other designers and developers to embed it into every stage of the process.

Good design at scale needs more than talent, it needs systems to empower decisions to stand the test of time and human error. I build the tools and rituals for teams that make quality design work repeatable: from Figma libraries, design tokens, guiding principles, and Storybook documentation to design critiques. I care about removing friction for my colleagues, clarifying standards, and creating the operational backbone for great design to happen more consistently.

I’ve ran many discovery research studies, led more than 200 user interviews in various industries, built research operations from the ground up: for example, reaching 66% increase in user-centered and analytics-informed decision making in a company of 60 people as a result of my UX Research democratization and advocacy efforts at Everyday Speech. My approach blends qual and quant, and I focus as much on the systems (recruitment, templates, tagging, repositories) and training people to become researchers, as I do on the insights themselves.