I am currently a graduate student at Stanford University. I was previously at UC Berkeley where I studied Electrical Engineering and Computer Science. I spent most of my time there researching systems and deep learning at the Berkeley RISE/Sky Computing Lab, Google Brain, and Tesla Autopilot. I am interested in real-world applications of deep learning, data systems, computer- and human-generated art, jazz, and the design of products and systems.
To get in touch, send me an email.
Towards Language Models That Can See: Vision Through the LENS of Natural Language
William Berrios, Gautam Mittal, Tristan Thrush, Douwe Kiela, Amanpreet Singh
pdf Code Blog Demo
SkyPilot: An Intercloud Broker for Sky Computing
Zongheng Yang*, Zhanghao Wu*, Michael Luo, Wei-Lin Chiang, Romil Bhardwaj, Woosuk Kwon, Siyuan Zhuang, Frank Sifei Luan, Gautam Mittal, Scott Shenker, Ion Stoica
USENIX Symposium on Networked Systems Design and Implementation (NSDI), 2023
Balsa: Learning a Query Optimizer Without Expert Demonstrations
Zongheng Yang, Wei-Lin Chiang*, Sifei Luan*, Gautam Mittal, Michael Luo, Ion Stoica
ACM Special Interest Group on Management of Data (SIGMOD), 2022
Symbolic Music Generation with Diffusion Models
Gautam Mittal, Jesse Engel, Curtis Hawthorne, Ian Simon
International Society for Music Information Retrieval (ISMIR), 2021
CS 186 (Databases) at UC Berkeley: Fall 2021 and Spring 2022
Cal Hacks at UC Berkeley: Fall 2019, Spring 2020, and Fall 2020