From the past two years, I am on a mission to teach computers to see by leveraging Machine Learning and Deep Learning. I currently research on novel algorithms for Real-Time semantic segmentation on low power devices, domain adaptation for semantic segmentation of hands using Generative Adversarial Networks (GANs).
I have significant experience in Software Development through my Research Assistant and Intern positions.
MSc in Computer Science (Thesis), 2020
University of Victoria
BTech in Electronics and Communication Engineering, 2015
Indian Institute of Technology, Dhanbad
Working closely with the NLU research team in collaboration with the MILA Lab, Montreal.
Project management using tools like JIRA to create, assign, and submit tasks, manage task descriptions and task timelines.
Developed and open-sourced a large scale dataset containing 200k annotated depth images and deep-learning architectures for hand segmentation.
An online messaging service using Python’s Flask, similar in spirit to Slack.
Developed a Facial keypoint detection system by training a convolutional neural network on Youtube Faces dataset.