Nathan Zhang

Computer Science @ UCLA

Focused on building low-latency systems and optimizing ML inference pipelines. Spent the past year working on distributed data infrastructure at Capital One and fine-tuning reasoning models at Scale AI. Currently exploring CUDA kernels for transformer inference, modern C++ concurrency patterns, and building AI agents for code analysis.

Right now: reading Flowers for Algernon and rewatching the Harry Potter movies in prep for a Universal Studios vacation with my girlfriend!