I am currently an Applied Scientist at Amazon Search, where I work on solving challenging problems in information retrieval and search technologies.

From 2018-2023, I was PhD student, working with Prof. Anshumali Shrivastava at RUSH Lab of Rice University, Electrical and Computer Engineering department. My research focused on large-scale information retrieval, leveraging randomized algorithms and deep learning. From 2014 to 2018, I was a part of the Tata Consultancy Services (TCS) Innovation Labs in Delhi, India. There, I worked with Dr. Gautam Shroff and Dr. Lovekesh Vig on projects involving computer vision and augmented reality.

I earned my Bachelor of Technology (B.Tech.) in Electrical Engineering from the Indian Institute of Technology,Hyderabad, India.

CV Publications

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Recent Activities:

  • March 08 2024: Presented CAPS: A Practical Partition Index for Filtered Similarity Search at ISIR, WSDM 2024
  • Nov 15 2023: Joined Amazon Search.
  • Aug 18 2023: Defended my Thesis!
  • Aug 18 2022: Presented BLISS: A Billion scale Index using Iterative Re-partitioning at SIGKDD,2022.
  • June 2022-Aug 2022: Joining Adobe Research as a Research Intern.
  • June 2021: “RAMBO speeds searches on huge DNA databases” - got featured in Rice News and Science Daily
  • May 2021-Aug 2021: Research Intern at Adobe Research
  • Preprint available for IRLI: Iterative Re-partitioning for Learning to Index; Gaurav Gupta, Tharun Medini, Anshumali Shrivastava, Alexander J Smola
  • Fast Processing and Querying of 170TB of Genomics Data via a Repeated And Merged BloOm Filter (RAMBO), accepted in the International Conference on Management of Data- SIGMOD 2021. preprint
  • May 2020-Aug 2020: Applied Scientist Intern at Amazon Web Services Deep Learning team
  • May 2019-Aug 2019: Applied Scientist Intern at Amazon Search(A9)
  • December 2018: Joined RUSH lab