Viral is a researcher, working in the domain of machine learning and deep learning for computer vision. He is pursuing a PhD in the Department of Electrical and Computer Engineering at Concordia University. His research work is centered around object detection and tracking. He is also associated with Dataperformers as a Deep Learning and AI Researcher since May 2016. He has worked on projects involving CNNs, RNNs and is currently exploring generative models and unsupervised learning for object detection. Viral is also an academician who loves to teach and collaborate with other researchers.