About Me

I’m a Prefinal year UG student at Indian Institute of Technology, Kanpur majoring in Computer Science and Engineering, broadly interested in the areas of Deep Learning and its applications. I have explored the fields of Computer Vision and Natural Language Processing wherein I was fascinated by Deep Generative Models, Recommender systems, Variational Autoencoders and the advancement in Object detection using Deep Learning methods. I had some exposure to Probabilistic Machine Learning in Summer 2019, learning about Bayesian regression methods, applications of Variational Inference and MCMC algorithms and I am interested in learning more about them. I have been working on video generation and prediction using Stochastic and adversarial ways. I am also studying more about multi-domain translational GANs,cool generative architectures(like StyleGAN), Mask R-CNNs, VQ-VAEs and text-generative network architectures.I also had some exposure in Reinforcement learning where I studied Monte-Carlo learning,Temporal learning and Q-learning and trained 2 Atari games using Deep-Q learning and A3C methods.

Currently, I am working as a Research Assisstant(work from home) under Prof. Yogesh Rawat in Computer Vision Lab of University of Central Florida on the topic of Conditional Video synthesis.I am also part of a Probabilistic Machine Learning reading group of Prof. Piyush Rai where we weekly discuss few of the latest research papers on Probabilistic Machine learning.