About
Making complex technology understandable, useful, and human.
I'm a product designer and technical practitioner with more than 10 years of experience spanning UX research, product design, frontend development, product ownership, and enterprise technology.
Much of my work lives at the intersection of business operations, technology, and the people who depend on both. I enjoy taking complicated systems and processes, understanding what makes them difficult, and turning them into experiences that are intuitive, efficient, and genuinely useful.
My experience also extends into intelligent automation and applied AI, where I've worked with complex enterprise workflows and explored how emerging technologies can make those experiences more effective.
How I approach the work
I believe the best solutions begin with understanding the problem, not accepting the first proposed solution.
Through stakeholder interviews, discovery sessions, research, and iterative design, I work to uncover what people are actually trying to accomplish. What users ask for and what they ultimately need aren't always the same thing. Understanding that difference is often where the most valuable design decisions happen.
My master's degree in Human-Computer Interaction shapes how I think about usability, effectiveness, and human behavior. But great experiences also need to serve business objectives and work within technical realities. I approach product design as a balance of all three.
My frontend development and technical background allow me to carry that thinking beyond wireframes and prototypes. I can collaborate closely with engineers, understand implementation constraints, and contribute directly to building the experiences I design.
What I'm exploring now
AI is changing how software is designed, built, and experienced. I see this as a significant shift in what individuals and teams can accomplish, and one that creates new opportunities and responsibilities for product designers.
My recent professional work has focused on intelligent automation, while my current design and prototyping work explores AI-native interfaces and agent-assisted workflows. I'm especially interested in how AI can make complex work more accessible, reduce repetitive effort, help people navigate information, and enable new ways of interacting with software.
That also means thinking carefully about trust, uncertainty, transparency, and control. An AI-generated answer isn't automatically a verified fact, and a recommendation isn't the same as a decision. Designing useful AI experiences requires understanding where these systems can fail and how to give people the context and control they need.
I'm also actively building with tools such as Cursor, Claude Code, and Codex, exploring agentic development workflows, MCP integrations, and AI-assisted implementation. Working directly with these tools has changed how I approach prototyping, experimentation, and delivery. It's also reinforced the importance of sound architecture, thoughtful design, testing, and knowing when human judgment matters.
For me, the opportunity isn't simply to add AI to existing products. It's to rethink how people interact with complex systems while keeping the experience understandable, useful, and grounded in real needs.