Design at the intersection of empathy and intent
I work at the intersection of education, the humanities, and innovation - grounded in empathy and the belief that technology should empower people, not dominate them.
A background in Spanish and Management, UX Design, and designing AI products has taught me the humanities and the technical can’t be separated. In a time when output is instant, what we build and why matters more than ever.
For me, design isn’t only about innovation - it’s about the responsibility that comes with it.
What makes the work meaningful?
Building responsibly means reflecting on the human in their entirety - not as a user, but as a person - and doing that work ethically.
I believe conscious leadership begins with connecting to oneself, and I’ve been committed to that practice because I can’t show up for others if I’m not here for myself first.
Technology shapes how we think, work, and relate to each other - which is exactly why the people shaping it need to be grounded in something more than the technology itself.
A life that feeds the work
I write - an attempt to protect my own thinking in an age when every opinion is fed to us. I cook and bake, and I stay active so I can keep cooking and baking without consequence.
I create constantly - painting, air-dry clay, scrapbooking - mostly to fight my perfectionism and channel creativity through forms that don’t need to be useful.
I’m learning about investing and personal finances, because responsibility doesn’t stop at the work. These aren’t separate from how I design - they’re where I practise the same things: independent thinking, patience with process, and the repetitive work of staying grounded.
Problem that's driving me
I think the most interesting design problem is figuring out where AI should act and where it should ask as well as how do we translate existing patterns to cater for AI. It's the question underneath my work, the reason I'm building Flowprint, and topics I'm currently exploring.
Ideas I keep returning to
Situated AI changes the trust contract. Traditional UX assumed predictable systems; AI products don't behave the same way twice, and our patterns haven't caught up
Designers are systems thinkers who've been handed pixel tools. The thinking layer is often missed.