WILLIAMKEFFER

William is a Junior pursuing a BS in Computer Science and Mathematics at UNC Chapel Hill. His research includes adversarial machine learning, vision-language model security, and satellite-economic analysis. His primary interests now are machine learning and the intersections of analysis and abstract algebra with computational methods. He loves talking about all things related to these fields. In his free time William enjoys designing redstone contraptions in technical Minecraft, tending his Stardew Valley farm, and listening to Pitcher 56 and Aphex Twin.

I built this site to reflect some of the design styles and aesthetics that resonate with me. Inspired by the abstract work of Aletiune, nine rendering layers stack from back to front forming a highly chaotic and variable scene. This portfolio runs on Next.js 16 with TypeScript, Tailwind CSS, and Zustand, rendering a multi-layered composition of canvas-drawn chrome strokes, drifting sky fragments, particle dust, and glitch artifacts at 60fps. A date-derived seed feeds a Mulberry32 pseudo-random number generator each day, deterministically driving the placement, curvature, and styling of every visual element so the composition stays consistent within a single day. When the date changes, the seed advances and the entire visual landscape regenerates, ensuring the site looks different every day while maintaining its cohesive aesthetic.