Most of what I do sits somewhere between experimentation and applied systems. I like working on high-performance inference systems,
decentralized training paradigms, and performance-critical GPU kernels. I'm comfortable working with both vision models and LLMs, and
tend to explore across ideas and fields because I find it hard to lock myself into just one area.
I started out in psychology but switched to tech in 2023.