I am an AI Researcher-I at Fujitsu Research (India), working in the intersection of Large Language Models and Graphs.
I completed my MTech (by Research) in the CSE department at IIT Hyderabad. I was fortunate to be supervised by Dr. Vineeth N Balasubramanian for my Masters Thesis. I am also grateful for the guidance provided by Dr. Martin Barzyck, Dr. Gaurav Sinha, Dr. Ranjan Mondal and Dr. Sanchayan Santra during different parts of my research journey.
(Oct '23) Our work on Interpretable Model Drift Detection has been accepted for presentation at the CODS-COMAD 2024 Conference (also presented at the 2nd Interpretability for Machine Learning and Healthcare Workshop at ICML 2022.) Congratulations to my co-authors Sai Srinivas, Prof. Vineeth, and Dr. Gaurav Sinha (Microsoft Research) [Link]
(Mar '23) Our work on Feature-Interpretable Real Concept Drift Detection has been accepted for presentation at the Trustworthy ML Workshop at ICLR 2023. Congratulations to my co-authors Sai Srinivas, Prof. Vineeth, and Dr. Gaurav Sinha (Microsoft Research) [Link]
(Apr. '21) Our work on Instance-wise Causal Feature Selection for Model Interpretation has been accepted for presentation at the Causality in Vision Workshop at CVPR 2021. Congratulations to my co-authors Sai Srinivas and Prof. Vineeth. [Link]
(Jan. '21) I will be interning at Amazon Science(India) as an Applied Scientist Intern in the summer of 2021.
(Nov. '20) Our work on Forest Ground Vegetation Cover Estimation has been accepted for poster presentation at the Tackling Climate Change using Machine Learning(TCCML) Workshop at NeurIPS 2020. This is joint work with Prof. Martin Barczyk and Prof. Jen Beverley of the University of Alberta Edmonton. Here is the link to the recorded talk from the workshop.
(Sep. '20) I started my Master's at the CSE department, IIT Hyderabad. I will also be working as Research Assistant in the Machine Learning and Vision Lab in the CSE department.
(Apr. '20) I started my remote internship at the University of Alberta, Edmonton, under the guidance of Prof. Martin Barczyk and Prof. Jen Beverly.