About

I’m Lynn, an AI infrastructure engineer focused on the systems behind large language models.

My interests span LLM training and inference, reinforcement learning infrastructure, distributed systems, and GPU performance. I’m interested in how these pieces fit together—and the engineering trade-offs that make AI systems efficient, reliable, and scalable.

This site is where I share technical deep dives and learning notes on AI infrastructure, connecting systems concepts to practical engineering decisions.

Outside engineering, I’m interested in music, literature, philosophy, and sociology.