I grew up surrounded by technology, so I was always curious about how digital experiences could make people feel excited, confused, understood, or completely lost. That curiosity turned into a deeper interest in UX/UI design after I watched a TED Talk about how Pixar animators use research, observation, and human behavior to create characters that feel real. It made me realize that the best experiences, whether in a movie or a product, are not just visually appealing. They are built from understanding people deeply.

That led me to study Cognitive Science with a specialization in Human-Computer Interaction, where I learned how people think, make decisions, and interact with technology. Over time, my interest expanded beyond design into data, especially as AI became a bigger part of how people search, work, create, and make decisions. I became curious about the information behind these systems and how data can reveal patterns that make experiences smarter, clearer, and more useful.

Today, my work sits at the intersection of UX/UI design, research, customer experience, data analysis, and storytelling. Whether I’m redesigning a fragmented intranet, improving alumni engagement, or analyzing customer ordering patterns with SQL and Tableau, I keep coming back to the same question: how can we make this easier, clearer, and more meaningful for the people using it?