I am a Research Engineer at SystemsResearch@Google. My current work focuses on scalable LLM inference and intelligent document processing.
I recently completed my PhD in the Data Systems Group at MIT CSAIL, advised by Prof. Michael Cafarella. My PhD work developed systems for automating and optimizing data-to-insight pipelines, spanning tabular data transformation, explainable discretization, and AI systems for end-to-end data analysis. During my undergraduate studies, I worked with Prof. Rachel Pottinger in the Data Management and Mining Lab at the University of British Columbia.
News
- 2026
- Joined SystemsResearch@Google as a Research Engineer.
- 2026
- Defended and graduated from the MIT Data Systems Group.
- 2026
- KramaBench appeared at ICLR 2026, and Interpretable Attribute Discretization appeared in PACMMOD.
- 2025
- Auto-Prep, our bottom-up data preparation work, and SeerCuts were published.
- Archive
- Earlier updates
Selected Publications
Publications and theses currently listed on Google Scholar, newest first. * indicates equal contribution.
KramaBench: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakes
Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence
Beyond research
I write a blog about research, graduate school, and learning.