The redesign of AWS Home. It started as a static landing page with little customer value, and I led the design to turn it into a personalized, extensible dashboard platform used by millions, something people could actually use (and dare I say, enjoy).
The fun part was balancing competing priorities:
We had to innovate (introduce AI-powered, customizable insights) without terrifying a highly technical audience attached to the old version.
We had to design for consistency across 100+ service teams without slowing them down, so I architected a widget contribution framework and design system that felt less like red tape and more like guardrails.
We had to balance tradeoffs between enterprise-scale performance, accessibility, and usability while wrangling dense data, and still present it in a way humans could actually act on.
It was a “blank page within constraints” project: we were redefining the product vision, but also working inside AWS’s massive ecosystem. The results? An extensible, customizable, and personalized dashboard that improved IT workflows by over 100%, increased interaction by 168%, and became a unifying platform for cross-product collaboration.
Which project from your portfolio best showcases how you solved a complex design problem? What made it so challenging?
What was the most recent thing you learned about designing with AI?
The real value in designing with AI isn’t whatever it spits out first. I’m learning the magic is in how it’s curated and refined. I’ve used Figma AI, Stitch, Visily (and a few others experimentally). Many still feel very much in beta, honestly, but they can spin up flows or wireframes in seconds, which is great! I then use my judgment and expertise to turn those rough drafts into something people would actually want to use.
For me, AI is best as inspiration, rapid ideation, and a workflow accelerator. It’s not a designer replacement (yet), but I do think it’s shifted my mindset to more of an editor and decision-maker.