I am an Machine Learning Research Engineer working towards the development, deployment and improvement of core AI and machine learning algorithms for computer vision and natural language processing. With a background in both research and applied engineering, my current work focuses mainly on unsupervised domain adaptation, self-supervised learning and one-shot learning. I explore these learning techniques using generative models, graph neural networks, recurrent neural networks and convolutional neural networks.
I have experience working with teams from industry leaders like Autodesk, AISIN, and Desjardins. I am fairly comfortable working with different data types like images, videos, point clouds, text and time-series data. I also contribute to writing research proposals and pragmatic development directions to build multidisciplinary AI-based solutions.
Download my resumé.
MTech in Communication System Engineering, 2013
BE in Electronics and Communication, 2011