CV

PhD in Computer Science

Georgia Institute of Technology, U.S.A

• Specialization - Machine Learning
• Focus - Natural Language Processing and Cognitive Science
• GPA - 4.0
• Advised by Prof. Sashank Varma (Georgia Tech) and Prof. Diyi Yang (Stanford)

Master's in Computer Science

Georgia Institute of Technology, U.S.A

• Specialization - Machine Learning
• Focus - Natural Language Processing
• GPA - 4.0
• Master's thesis
  • {"Thesis"=>"Using Natural Language Processing for Understanding and Development of Online Mental Health Platforms"}
  • Advised by Professor Diyi Yang (Stanford)

B.E. Computer Science

Birla Institute of Technology and Science, Pilani, India

• GPA - 8.54 (out of 10)
• Minor in Data Science, GPA - 9.8 (out of 10)

Sr. Research Software Engineer - AI

IBM Research - Human-Centered AI Team

• Explored different intervention strategies for high-quality human-AI collaborative data creation. Built a full-stack application for user studies. User studies investigate the idea of appropriate user reliance on AI agents using subtle real-time nudges.

Software Developer - ML Intern

Epic Systems, Verona, WI

• Training Machine Learning models to predict workflow actions of Health Care Providers with the goal of bringing relevant patient information to the Provider Dashboard on-the-fly.
• Built an end-to-end pipeline trained on customer data to help Providers improve their productivity by saving time on software and spending more time with the patients.

Research Intern

University of Maryland, College Park

• Working with Professor Jordan Boyd-Graber on Adversarial Question Authoring
• The objective of this project is to help trivia authors write adversarial questions that stress test existing state of art retrieval models like Dense Passage Retrieval.

Software Engineer Intern

JP Morgan Chase, Mumbai, India

• Migration of applications from on-premises environments to cloud platforms. Responsible for the automation of testing flows using the postman automation tool.

Research Intern

Samsung R&D Institute, Noida, India

• Developed a bidirectional Long-short term memory based variable autoencoder to generate melody and chords for piano music.
• Extensively tuned model hyper-parameters and used sampling techniques to create original 16 bar music of a particular style.
• Regularised the latent dimensional space of the encoder-decoder pair using Gauss-normal distributions(Kulback Leibler divergence optimizer).
• The work of this internship was a part of the ringtone generation project in the mobile technologies department.

• Donald V. Jackson Fellowship award - Established by Jeannie Jackson in memory of her husband, Don Jackson, a 1971 master’s graduate of IS and a 1965 bachelor’s graduate of the math department. This award supports the College Master’s program and is awarded to a well-rounded, first-year Master’s student who best embodies Don’s values of academic excellence and leadership.