A Report on the FigLang 2024 Shared Task on Multimodal Figurative Language
FigLang@NAACL 2024
I work on training models for enterprise search relevance in the Frontier Tuning Team at Microsoft, Redmond.
I received my M.S. in Computer Science from Columbia University, where I specialized in machine learning and was advised by Prof. Smaranda Muresan. I previously earned a B.Tech. with Honors from IIT Madras, with a minor in computer science, and was advised by Prof. Balaraman Ravindran. During my undergraduate studies, I also spent an Erasmus+ exchange semester at the Technical University of Denmark.
During my studies, I worked on a broad range of machine learning problems, with publications at ICML, NAACL, IROS, UbiComp, and ECCV-W, as well as in Science. I also organized a shared task at FigLang@NAACL.
Feb 2025 - present
Redmond
Enterprise search relevance in the Frontier Tuning team. My work focuses on post-training language and embedding models, synthetic data generation, and evaluation.
Previously, I was an Applied Scientist Intern with the IC3 team (2024), working on anomaly detection for video conferencing. Earlier, I was a Research Intern at Microsoft Research India (2023), working on health chatbots.
Institution logos indicate my research affiliation for each project.
FigLang@NAACL 2024
UbiComp 2025
NAACL 2025
Science 2025
IROS 2023
CVCIE@ECCV 2022
ICML 2022