Hi there, hello.
I am a PhD student at the University of Washington, advised by Tom Anderson. I am broadly interested in designing efficient computer systems and particularly motivated by technologies with strong implications for social impact.
My current efforts are focused on making cloud GPUs more power efficient and sustainable, given the explosion in their demand due to large language models.
Previously, I dabbled in a variety of topics spanning deep learning, cloud computing, energy-efficient scheduling, human-computer interaction, virtual memory design, kernel-bypass networks and storage, and real-time systems. You can find out more on my publications page.
I love to discuss and learn! Please reach out if you are interested in my work.
Presented our vision on carbon-aware clouds at HotCarbon’23!
Started my summer internship at Azure Systems Research! I’ll be working on improving LLM inference efficiency in large-scale GPU deployments.
Our paper on cloud GPU power management is published in IEEE CAL!
The course I helped create is now an official seminar at UW CSE! If you are a new student, please consider attending The Tao of PhD to learn how to navigate the ups and downs of graduate school!
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