About Me

Engineer, researcher, and builder with a bias toward useful systems.

I am a Computer Science student at Virginia Tech with minors in Human-Computer Interaction and Math. My interests sit at the intersection of software engineering, machine learning, cloud platforms, and product-minded problem solving.

What drives my work

I like building software that is grounded in a clear use case, whether that means improving an internal dashboard, prototyping an AI workflow, or testing how intelligent systems behave under stress. The common thread is translating technical complexity into something practical and reliable.

My academic and professional experiences have pushed me across product engineering, applied AI, and research environments. That mix has made me comfortable switching between coding, experimentation, documentation, and collaboration with cross-functional teams.

Outside of work and school, I enjoy sports, exploring emerging technologies, and learning through side projects that force me to pick up new tools quickly.

Focus Areas

What I like building

  • Full-stack software with measurable user or system impact
  • Machine learning workflows that connect to real decisions
  • Cloud-backed tools that can scale beyond a prototype

How I Work

Approach

  • Start with the problem and define what improvement actually matters
  • Build incrementally, test early, and keep systems understandable
  • Document decisions so other people can move the work forward

Looking Ahead

What I want more of

  • Engineering teams shipping meaningful user-facing features
  • Applied AI work with a strong product or mission context
  • Roles that combine technical depth with ownership and iteration