Vanessa Ng

I design digital experiences that make complex things feel clear, approachable, and worth using. Currently, I’m exploring how AI tools like Claude, Figma Make, and Stitch can fit into a real product design workflow - from research and exploration to iteration and critique.

Product Designer, polyglot enthusiast, and avid reader based in Seattle, Washington ⊹₊ ⋆

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FitFuel

Designing a better way into fitness

Returning to fitness isn’t the same as starting from scratch. FitFuel explores how an AI-enhanced fitness app could adapt to people whose routines, abilities, and goals change over time. I designed a re-entry flow that gives users more control over where they are now - and where they want to go next.

Wayfarer

Designing the first step toward somewhere new

Wayfarer is a travel destination experience designed to turn browsing into discovery. I explored how imagery, content hierarchy, and interaction can work together to help travelers move from “Where should I go?” to “I want to go there.”

Reimagining the fashion storefront as a more accessible marketplace

Mirror

Mirror is an e-commerce redesign for a growing fashion retailer looking to reach a broader audience. I focused on making browsing and purchasing feel simpler and more approachable, with accessibility and affordability considered throughout the experience.


Meet the Designer

I grew up in Seattle surrounded by museums, galleries, local art, and an unreasonable amount of time spent wandering around the city. That early curiosity shaped how I see design today: as a way to make ideas tangible and help people connect with something new.

I’m drawn to product design because it sits at the intersection of creativity and problem-solving. I like digging into the why behind a problem, making sense of messy information, and turning it into an experience that feels simple without being simplistic.

I recently completed Designlab’s AI for UX Design course, a 4-week intensive program, where I experimented with tools like Claude, Figma Make, and Stitch - and figuring out where AI genuinely improves the design process rather than simply making it faster.