About
I’m someone who genuinely enjoys figuring things out, especially when data, people, and real-world impact come together. I’m currently doing my master’s in data science and most of my recent work revolves around AI, machine learning, and building things that actually solve problems instead of just looking good on paper. Lately I’ve been exploring projects that mix tech with social impact, like studying how AI infrastructure affects communities, working on biomarker prediction models, and building AI dashboards that turn messy data into something people can actually use. I also enjoy teaching and mentoring, so I often find myself explaining concepts or helping others debug ideas. I like collaborating with curious people, asking questions, and turning rough ideas into working solutions. If you enjoy meaningful tech conversations, research discussions, or even brainstorming wild project ideas, I’m always up for connecting.
