I am a computer science researcher. In 2027, I will join Carnegie Mellon University as an Assistant Professor in the Computer Science Department (CSD) and, by courtesy, the HCII. I am starting the Full Stack Data Lab.

My PhD is in EECS from UC Berkeley, where I worked with Aditya Parameswaran and built the DocETL stack for LLM-powered data processing (3.7k+ GitHub stars, used by public defenders, climate scientists, and more). We won several paper awards for this line of research (Best of SIGMOD 2026, Best Paper at CHI 2026, Best Paper Honorable Mention at UIST 2025). In a past life, I was an ML engineer, and my undergrad is in CS from Stanford.

Current mentees

  • Andrew Cheng (undergrad)
  • Sasha Singh (undergrad)

Past mentees

  • Parth Asawa (undergrad → PhD student @ UC Berkeley; CRA Undergraduate Award Honorable Mention)
  • Ruiqi Chen (MS → PhD student @ University of Michigan CSE)
  • Ankush Garg (MS → Senior Data Scientist @ Clarkson Consulting)
  • Rachel Lin (undergrad, MS → Software Engineer @ Opto)
  • Aditi Mahajan (undergrad → Google)
  • Nikhil & Vinay Rao (high school → undergrads @ UC Berkeley EECS)
  • Quentin Romero Lauro (undergrad → CEO @ Inspector, YC 2025; CRA Undergraduate Award Winner)
  • Reya Vir (undergrad → PhD student @ Columbia; NSF GRFP recipient)
  • Yujie Wang (undergrad → Google)
  • Lindsey Wei (undergrad → PhD student @ Berkeley; CRA Undergraduate Award Honorable Mention)

Recent news

Academic service

Reviewer: CIDR (2027–), VLDB (2027–), UIST (2024–), CHI (2024–), NeurIPS (2021, 2022)

Organizer: DEEM Workshop at SIGMOD (2023–2025)