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. My Ph.D. thesis is on novel methods for event detection and extraction.
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 intelligent systems combining crowdsourcing and AI.
I'm a Twitch Research Fellow for 2020 and currently working on multimodal information extraction for their Search Team with Saad Ali. I've spent two wonderful summers('18 & '19) at Netflix where we concieved a novel machine learning solution for improving machine translation. Prior to joining grad school, I double majored in Computer Science and Mathematics from Birla Institute of Technology and Science (BITS), Pilani. During my undergrad I have dabbled in Computer Graphics leading to my Masters thesis titled 'A Comparative Study of Rendering Techniques' where I implemented and compared the performance of Ray Tracing and Reyes Image Rendering techniques. After graduating I joined Dreamworks Animation as a Technical Director on the feature film Penguins of Madagascar (2014) and later moved to an engineering role in R&D. Some of the places I have interned at during my undergrad include Dreamworks Animation (spring '14), GlobalLogic (summer '11 & '12) and Harish Chandra Research Institute (mid-summer '12). I was a recipient of the MITACS Globalink Research Internship grant in summer '13 which I spent at the Memorial University of Newfoundland, Canada working with Prof. Theodore Norvell.
My research is graciously supported by DARPA and NSF.Service
Researching methods for multi-modal information extraction from e-sports streams for enhancing search.
February 2020 - Present
Researched ways of improving black box neural machine translation via sentence simplification.
Researched ways to simplify colloquial language to be more conducive to machine translation for multiple low resource languages. Assisted in developing predicitive models for estimating MT confidence scores.
Developer on the team that developed and maintained a task graph based distributed execution framework providing interface for designing and executing complex workflows.
September 2014 - July 2015
Supported Layout Department on the feature film Penguins of Madagascar (2014).
July - September 2014
Developed a GUI using PyQt for a predominantly command-line data transfer tool built on top of Python Twisted event framework.
Jan - July 2014
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.
Integrated M.S. & Ph.D. in Computer Science
Fall 2015 - Present
B.E. in Computer Science and M.Sc. in Mathematics
Fall 2009 - Spring 2014