I work at the intersection of AI, UX, and information architecture.

My background in Library and Information Science trained me to see what most teams overlook: how information is structured, how people interpret it, and where understanding quietly breaks down.

Before I ever worked on AI products, I was trained to think about systems — how knowledge is organized, retrieved, evaluated, and trusted. That lens shapes everything I do today.

AI tools don’t fail because they’re unintelligent.
They fail because they’re unclear.

My approach is grounded in close observation: how real people move through flows, where they hesitate, what they misunderstand, and what they assume. I pay attention to friction that doesn’t always show up in metrics — tone shifts, cognitive overload, trust erosion.

Over the years, I’ve worked across content strategy, UX research, and service design, helping teams translate complexity into clarity. I’m particularly drawn to emerging technologies because they amplify both potential and risk. Structure matters more when systems scale.

I bring:

• Systems thinking without rigidity

• Empathy without sentimentality

• Strategic clarity without excess process

If you’re building something ambitious, I help ensure it makes sense to the people it’s meant to serve.