I am a Ph.D. candidate in the Computer Science department at Virginia Tech's College of Engineering, advised by Prof. Naren Ramakrishnan.
My research falls under the umbrella of Natural Language Processing, Deep Learning and Data Mining. General topics in ML that interest me are information extraction, domain adaptation, low-resource ML, transfer learning and knowledge graphs.
Currently, I am affiliated with Discovery Analytics Centre (DAC). Before joining DAC, I have worked at the Crowd Intelligence Lab at Virginia Tech where I was involved in building hybrid human-AI systems combining crowdsourcing and face recognition.
I was Twitch Research Fellow for 2020 and worked on entity extraction with Saad Ali. I've spent two wonderful summers('18 & '19) at Netflix where we concieved a novel machine learning solution for improving deep neural machine translation models.
Researching methods for multi-modal information extraction from e-sports streams for enhancing search.
Feb - Dec 2020
Researched & trained deep neural network models to simplify colloquial language to be more conducive to machine translation of multiple low resource languages. Assisted in developing predicitive models for estimating MT confidence scores.
Summer 2018 & 2019
Developer on a scrum-based agile team that developed and maintained a task graph based distributed execution framework providing interface for designing and executing complex workflows.
Supported Layout Department on the feature film Penguins of Madagascar (2014).
Jan 2014 - Jul 2015
Developed an Android application to remotely view and interact with a desktop screen using a mobile device. Different protocols for different gesture types were developed to interact with the Desktop over the network.
Developed a learning based OCR application for recognizing computer fonts from images. Developed a novel approach for data augmentation.
Summer 2011 & 2012