The human thing behind it

I build technology by starting with what it means to be human.

Human experience, connection, and dignity have been the through line of my work long before I entered AI.

01

From cities to systems

Freya smiling on a mountain beneath a vivid blue sky.
Still happiest under a big sky.

My first product lessons came from everyday life.

I began in urban planning and human-centered research, studying how systems shape whether children can move through a neighborhood independently, whether older adults feel safe and included in public space, and how communities respond under pressure.

That work taught me that a system is never only its technical design. It is also the people it serves, the power it distributes, the behavior it rewards, and the consequences it leaves behind.

02

From systems to products

I moved into technology because I wanted to build more directly.

At the University of Washington's Global Innovation Exchange, I combined product management, human-computer interaction, design, applied AI, and entrepreneurship through a Master of Science in Technology Innovation and an industry-sponsored Responsible AI capstone.

Today, I frame ambiguous problems, translate trust and governance concerns into requirements, align technical and non-technical stakeholders, shape AI workflows, and build enough of the product to test the decisions behind it.

What I believe

Trust belongs inside the product.

01

Trust is not a layer

It must change what a system asks, stores, reveals, refuses, evaluates, and leaves for a human to decide.

02

Human-first is pro-innovation

Ambitious technology becomes more useful and durable when it protects agency, comprehension, dignity, safety, and real needs.

03

Honest limits are evidence

Credibility grows when a team says what a test failed to establish instead of turning uncertainty into a stronger headline.

04

The way we build matters

Psychological safety, mutual respect, and clarity shape which assumptions a team will question and which risks it will surface.

03

How I work

Ambition, with mechanisms.

  • Start with the human decision the product must support.
  • Turn broad risk or policy language into specific product mechanisms.
  • Make ownership and decision authority explicit.
  • Use prototypes to test assumptions—not to imply production maturity.
  • Connect research, system design, delivery, and evaluation.
  • Communicate uncertainty early enough to change the roadmap.

A life outside the system

Build meaningful things. Stay connected.

I founded AI + Sun, a small community for AI builders who want to stay grounded while working on fast-moving technology: thoughtful people, time outside, honest conversation, and no pressure to perform.

It reflects something I believe deeply—building meaningful technology should not require disconnecting from ourselves, other people, or the world we are trying to improve.

Explore selected work