I am currently a Ph.D candidate in the department of Computer Science and Engineering at the Pennsylvania State University, University Park (Main Campus). I am advised by Daniel Kifer. I completed my M.S. in Electrical and Computer Enginnering at Penn State as well, advised by Yanxi Liu and Robert Collins. My primary research focus has been developing deep learning algorithms for computer vision applications, specifically, semantic and instance segmentation. The first three years of my Ph.D was funded by Google AI , under which I worked as the student tech lead to develop deep learning models for semantic segmentation of high-resolution imagery. Currently, I am continuing research in this domain by developing a few-shot prompt generator for leveraging Meta AI’s Segment Anything Model (SAM)’s zero-shot segmentation capabilities for downstream tasks such as co-saliency detection, semantic, instance, and video segmentation, and tracking. I am also working on interpretability of neural network representations when subject to differentially private stochastic gradient descent optimization. I have had an incredible opportunity to do three intersnhips as a Research Scientist Intern at Schlumberger (SLB) Research at Boston under the guidance of Kashif Rashid, Andrew Speck and Lingchen Zhu, where I worked on projects related to Reinforcement Learning, 3D Generative Vision Modeling and Semantic Segmentation.