About

I'm Langdon, an undergraduate at UC Berkeley studying Computer Science and Applied Math. I grew up questioning everything and wanting to understand the inner workings of complex topics, which led me to software and mathematics. Lately that's meant teaching machines to understand the physical world.

Most of what I know I've learned by shipping. I've done full-stack work at BlueRobins, built active-learning pipelines at Perceive AI, and worked on perception at Looq AI, where I built a SLAM computer vision pipeline that runs on edge devices to localize and reconstruct 3D infrastructure. On the side I built Ironbook, which turns photos of a space into a navigable 3D scene you can query in natural language, and it won the Grand Prize at the UC Berkeley AI Hackathon.

My overarching theme is that I enjoy solving complex problems that have real impact and actually help people. I'm still figuring out where I'll end up, but right now I'm trying to put myself in the best situations to learn and grow.