I am currently a Software Engineer in Waymo under Perception Team, where I am working on Active Learning related projects. I graduated with a Master's degree in the department of Computer Science at Stanford University in 2021.
I am interested in the domain of computer vision and deep learning. I am specifically interested in topics such as generative models, anomaly detection, self-supervised learning and active learning.
During my Masters, I was a Research Assistant under Professor Stefano Ermon where I pursued research in generative models and self-supervised learning. One of my projects won the "Best Paper Award at ICLR, 2022".
I was also a Course Assistant for the couse CS 330 - "Deep Multi Task and Meta Learning" taught by Professor Chelsea Finn.
Prior to starting my Masters, I was working at Adobe India as Member of Technical Staff-2. I worked on a deep learning based visual search product for clothing based recommendation. This work won the "Best Paper Award" at a CVPR workshop, 2019. I was also involved in several other research based projects during my work.
I did my undergraduation from Indian Institute of Tenchnology Kharagpur with a major in Electronics and Electrical Communication Engineering and a minor in Computer Science.
Made a 2D grid environment in which an agent performs tasks on the basis of natural language sentence. Developed a new fusion mechanism for the fusion of visual and textual features to solve the problem.
The proposed methodology outperformed the state-of-the-art in terms of both speed and performance for the 2D as well as a 3D environment.