I'm Kimi Chen, a Data Science and Applied Mathematics double major at UC San Diego, minoring in Cognitive Science. I've been programming since middle school and have spent the last few years engineering systems that bridge the gap between complex theory and useful application, with a particular focus on Computer Vision and World Models.
My journey into AI began in high school, building deep learning models for fake news detection. Since then, I've scaled up to leading the computer vision pipeline at Triton UAS (focusing on saliency detection, aerial mapping, and generating synthetic data) and researching novel world models (PAN) for general simulation in Professor Zhiting Hu's lab.
But I'm not just about research code, I love building tools that solve actual headaches. I developed a Premiere Pro extension (File Order Randomizer) to fix a specific editing workflow issue, which now has over 8,000 users. I'm constantly trying to balance technical complexity with the "bigger picture" of how people actually interact with the software we create.
When I'm not debugging pipelines or stressing over math proofs, I'm likely tinkering with my FPV drone build, writing scripts to automate the tedious parts of my life, or unwinding with Tchaikovsky.
And yes, I was named after Kimi Räikkönen. I may not be as fast as the Iceman, but I promise I speak more than two words at a time!