+ "I'm pursuing an M.S. in Data Analytics for Science at Carnegie Mellon, but the work that defines me happens in production: I build full-stack products where serious data and ML meet interfaces people actually want to use. Recent focus spans live analytics experiences like MarketPulse, search and discovery tooling such as PokeFind that I rely on day to day, and this portfolio itself—treated as a shipped product with automated deploys, performance-conscious React, and the kind of visual polish that holds up on real devices and in dark browser chrome. I gravitate to ambiguous problems that need both statistical judgment and engineering discipline—systems that stay fast under load, tell the truth about uncertainty, and earn trust one interaction at a time. Dive into the featured projects below, or open my résumé for the full arc.";
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