Resume
Academic Achievements
- Publications include 'Constrained Best Arm Identification with Tests for Feasibility', 'Columbo: Expanding Abbreviated Column Names for Tabular Data Using Large Language Models', etc.; 1st place in VIMS-IAARC Joint Datathon 2022 Competition.
Research Experience
- Worked with Prof. Kirthevasan Kandasamy on Active Learning and Multi-armed Bandits before Fall 2023; Worked with Prof. Vincent Y. F. Tan on Machine Learning focusing on Nonnegative Matrix Factorization in 2020-2021; Machine Learning Engineer Intern at Adobe (May 2025 - Aug 2025); Research Assistant at National University of Singapore (Jun 2020 - Aug 2021); Data Science Intern at Sprim Inc. (Feb 2020 - May 2020); Data Science Intern at HP Inc. (Aug 2018 - Dec 2018); Data Science Intern at Wish Inc. (May 2018 - Aug 2018).
Education
- Ph.D. in Computer Science, University of Wisconsin–Madison, Advisor: Prof. AnHai Doan; Bachelor's degree with honors in Data Science and Analytics, National University of Singapore, 2020.
Background
- Research interests lie in the intersection of data science and machine learning. Currently working on building efficient data management systems using Large Language Models.