I have an eclectic academic background involving robotics, software engineering, computer science, machine learning and natural language processing. Currently, I am pursuing a master's degree in Computer Science at the University of Massachusetts Amherst with focus on Machine Learning as applied to Natural Language Processing (NLP) and Knowledge Graphs (KGs). My current research interests lie in the intersection of geometry, deep learning and NLP. I am broadly interested in (1) exploiting the geometry of non-euclidean spaces to provide better inductive bias to the representation models of natural language and Knowledge Graphs, and in (2) integrating external knowledge sources like Knowledge Graphs, ontologies and hierarchies with deep learning models using end-to-end gradient based learning to create explainable, instructable and data efficient learning machines.
I was a summer research intern (2019) and continue to work as a Graduate Student Research Assistant at Information Extraction and Synthesis Lab (IESL) advised by Prof. Andrew McCallum. Prior to starting my master's program, I worked in a small team at Kenome -- a nascent but extremely driven startup founded by Prof. Partha Talukdar -- solving challenging problems using Machine Learning and NLP. I have also worked for ~2 years as a software engineer at MathWorks, focusing on developing Simulink and related products. During my undergrad at IIT Madras, I worked with Prof. Bandyopadhyay on problems in Robotics.
I am always on the lookout for interesting conversations and fruitful collaborations. Feel free to use the chat-box at the bottom or my email to get in touch.
|Nov 1, 2020||Happy to announce that I will be starting my Ph.D. in Spring (January) 2021 at UMass Amherst with Prof. Andrew McCallum as my advisor.|
|Oct 1, 2020||Internship work done at Abridge AI is accepted at Clinical NLP workshop 2020.|
|Sep 30, 2020||Paper titled Reading Comprehension as Natural Language Inference: A Semantic Analysis is accepted at *SEM 2020.|
|May 10, 2020||Excited to start research internship at Abridge AI.|
|Jan 15, 2020||Paper titled “Representing Joint Hierarchies using Box Embeddings” is accepted at AKBC 2020.|
Information Extraction and Summarization for healthcare conversations.. read more May 2019 - Sep 2019
Natural Language Processing Research Intern
Working on learning and using representations of language data in non-euclidean spaces.. read more May 2019 - Sep 2019
Working towards a master's degree in Computer Science with focus on ML and NLP.. read more Jan 2019 - present
Master of Science in Computer Science
Making sense of structured and unstructured data.. read more Mar 2018 - Jan 2019
Software Development Engineer, Machine Learning
Worked on development of Simulink and allied products. Mainly using C++... read more Jun 2016 - Jan 2018
Analysis of Kinematics and Dynamics, Design, Interfacing and Control of a vehicle motion simulator based on a 3-DoF Parallel Manipulator... read more Dec 2014 - May 2015
Research and Design Engineer (Intern)
Trained for developing products, be it a software or a robot--taking it from need analysis to a final prototype and beyond. With a wide focus, learned basics of almost all the fields of engineering like computer science, electrical engineering and mechanical engineering. The interdisciplinary yet technical nature of the curriculum prepared me for diving deep into any field of engineering with focus on building products... read more Aug 2011 - Jul 2016
Dual Degree (Btech+Mtech) in Engineering Design with minor in Systems Engineering