I am an incoming CS PhD student at Stanford; currently working as a Deep Learning Engineer on the cuDNN team at NVIDIA working on accelerating deep learning workloads on GPUs. I'm broadly interested in performance engineering, machine learning systems, hardware architecture, and empirical ML. Currently also writing a MLSys Review newsletter

I graduated from Massachusetts Institute of Technology (MIT) with a B.S. and M.Eng (coursework here). where I worked on understanding the performance of large language models for my thesis.

Some things I worked on in the past:
Outside of CS, I enjoy history of art and architecture, photography, and classical music.

Resume available upon request. If you have any questions or would like to chat, feel free to reach out (social links below).

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