Yile (Michael) Gu

I am a third-year Ph.D. student at the University of Washington, advised by Prof. Baris Kasikci.

My research interests broadly lie in machine learning systems and systems reliability. I’ve worked on efficient LLM serving and energy-efficient distributed training for large models before. I’ve also built debugging tools that help improve the reliability of software systems on data persistency specifically. More recently, I have been working on how to integrate LLMs into the incident management lifecyle effectively for cloud systems.

You can find my CV here.