I am currently working with Prof. Brenden Lake at the Human & Machine Learning Lab on learning simple inductive biases with neural networks. I am a Master’s Student at NYU and have recieved the Samuel Morse Fellowship. I have completed my undergraduate from IIT Kanpur majoring in Electrical Engineering. I am broadly interested in using concepts like compositionality, causality and learning to learn to advance current AI systems. During my time as an undergraduate I worked with Prof. Yao Wang from NYU on a couple of projects and had the fortune of visiting New York to work with her. During my junior year, I enjoyed a stirring couple of months at Artifacia, an AI startup dealing with visual commerce.
I am interested in playing tennis, visiting museums, writing poetry and painting. I have been part of a couple of interesting startup projects LucidLaw and MeetApp founded by me and a couple of undergrads not unlike myself.
B.Tech in Electrical Engineering minor in AI, 2018
M.S. in ECE, 2020
Experimentation with various algorithms and propose a deep supervised technique using LSTMs
Usings GANs and experimenting with loss functions and stacking GANs for dehazing images
Work on extending bayesian formulation to RNNs and an independent FC implementation
An attempt at predicting where humans look in the future