As a third-year Computer Science and Business student at Lehigh University, I’ve had the chance to work in diverse roles — from building a decentralized ID system at Oracle to launching timeline tracking tools at ICF. Each experience shaped how I think about scalable solutions, cross-functional collaboration, and the power of data in decision-making.
At Oracle, I worked on an early-stage project focused on decentralized identity. It taught me how critical digital trust and authentication are in a world moving rapidly toward blockchain-powered solutions. The experience pushed me to think not just as a developer, but as a product thinker — asking:
Who are we building this for? And why now?
At ICF, my work was closer to end users. I helped launch internal tracking tools that improved how project timelines were monitored. Here, I learned the value of rapid iteration, clear stakeholder communication, and empathy-driven UX design — even in internal tools.
These experiences, though different, have a common thread: blending technical proficiency with strategic insight. Whether it’s choosing the right machine learning model or prioritizing features in a product roadmap, my goal is to apply quantitative methods in ways that matter.
I’m excited to keep learning — and sharing along the way.
