Work experience

• Summer 2018: Graduate Research Intern, IBM Research
  • Created an entity relationship extractor using piecewise-CNN modified with positional and contextual features, on unstructured news data. Used Watson NLU, Watson Knowledge Studio for pre annotation task, PyTorch for model and D3.js for visualisations
• Fall 2018: Graduate Student Researcher, Microsoft Research Maluuba
  • Performed visual reasoning on a synthetic dataset (FigureQA) with 76% accuracy. Implemented a Relation Network with modules for FiLM, self and group attention to answer relational questions on graphs using PyTorch.
• Summer 2017: Software Engineer Trainee, Global Analytics India Pvt Ltd.
  • Deployed Android app to visualize data from company reports using custom classes to analyze and plot 7 types of graphs and charts. Improved efficiency of calculations by implementing new interfaces.
• Fall 2015: Data analytics intern, Ramjay&Co
  • Performed analysis of tax and income data of clients using Hadoop and MySQL.
• Summer 2015: Research Assistant, College of Engineering Guindy
  • Implemented Naive Bayes classifier to perform Sentiment Analysis on a stream of twitter data using Hadoop, reaching 74% accuracy (then on par with state of the art). Overcame the reducer slow start problem in Hadoop by modifying the reducer to start without waiting for the mapper to finish.