Microsoft Research

Dec 2019 – Jun 2020 Bangalore, India
Worked with Dr. Manik Varma and his group towards exploiting graph-based patterns in the context of extreme classification   [Preprint soon].

Research Assistant

UC San Diego

Aug 2019 – Oct 2019 San Diego, CA
Worked with Prof. Julian McAuley on aspects of applied machine learning, specifically in the context of NLP and recommender systems. Ascertained a highly relevant problem in existing systems that exploit textual reviews for rating prediction, and generalize it. Wrote a paper about the realized problem and possible fixes under different scenarios   [SIGIR ‘20].

Research Assistant

Cornell University

Jun 2019 – Jul 2019 Ithaca, NY
Worked with Prof. Thorsten Joachims and his group at the intersection of causal inference, counterfactual learning, and reinforcement learning. Main project focussed on making off-policy learning from biased, logged contextual-bandit data more robust. Formalized a novel, highly relevant problem and generalized different estimators   [KDD ‘20].

Data Science Intern

PricewaterhouseCoopers LLP (PwC)

Aug 2018 – Nov 2018 Tampa, FL
Worked with the data science and innovation team on clause extraction from sensitive legal documents for top clients in the US. Formulated a de-generate pipeline and compared different statistical and deep-learning based models for the given task. Reduced task time from days to a few hours, enabling PwC to get new clients in the legal sector.

Research Assistant

ICAR-CNR (National Research Council of Italy)

May 2018 – Jul 2018 Rende, Italy
Worked with senior researcher, Dr. Giuseppe Manco on building novel and better systems suited for the task of next-item recommendation. Devised a taxonomy of VAE models for collaborative filtering, demonstrating huge gains over state-of-the-art on real-world datasets   [WSDM ‘19].

Teaching Assistant

IIIT Hyderabad

May 2018 – May 2019
  • Data Warehousing and Data Mining (CSE445) - Monsoon ‘18
  • Database Systems (CSE441) - Spring ‘19

Google Summer of Code


May 2017 – Aug 2017
Implemented a JS-library, complete with unit-tests and swagger-documentation, which works both on Node.JS and browser.


. Off-policy Bandits with Deficient Support. (Research track) In the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020.

Preprint PDF Code

. How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements. In the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020.

Preprint PDF Code

. Sequential Variational Autoencoders for Collaborative Filtering. In the 12th ACM International Conference on Web Search and Data Mining (WSDM), 2019.

Preprint PDF Code


  • Travel grant from SIGIR, Flipkart to attend WSDM ‘19
  • Reviewer for AAAI Conference 2019
  • Reviewer for ICDM Conference 2018
  • Mentor at Aashakiran: An IIIT initiative to teach underprivelaged high-school children
  • Recieved Dean’s Research Award for exceptional research at IIIT Hyderabad
  • Recieved Dean’s Award for Academic Excellence at IIIT Hyderabad
  • Qualified for ACM ICPC India Regionals 2017-18