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About Me

I am an Applied Scientist (II) at Amazon (Search Science and AI). I received my Ph.D. in Computer Science from University of Illinois at Urbana-Champaign (UIUC), where I was advised by Prof. Sanmi Koyejo. Prior to joining the Ph.D. program, I pursued integrated masters in Mathematics and Scientific Computing from IIT Kanpur and worked at Adobe Research, India for two years. I primarily work in statistical machine learning with a focus on metric elicitation and optimization, fairness, ranking, and recommender systems.

NEWS

• (September 2021) Joined Amazon as an applied scientist
• (August 2021) Defended Ph.D. on “Classification Performance Metric Elicitation and its Applications”
• (July 2021) Presented our paper on Optimizing Black-box Metrics with Iterative Example Weighting at the International Conference on Machine Learning.
• (December 2020) Presented our paper on Fair Performance Metric Elicitation at the Conference on Neural Information Processing Systems.
• (July 2020) Presented our paper on Optimization and Analysis of the pAp@k Metric for Recommender Systems at the International Conference on Machine Learning.
• (March 2019) Awarded the prestigious C.L. and Jane W.-S. Liu Award for showing exceptional research promise. It is awarded to only one student each year across batches.

Prior to Ph.D.

• (June’15-July’17) I was a member of research staff at Adobe Research, India, where I mostly worked in time series analysis and recommender systems and also explored many areas including augmented reality, natural language processing, and visualization (paper to be completed someday). However, all the projects had machine learning in action.

• (Summers’13) At some point, I was really interested in discrete mathematics, especially, combinatorics. For summers 2013, I got a wonderful opportunity to work with Dr. Jean-Marc Schlenker at the University of Luxembourg. Under his guidance, I published my first siginificant work in the European Journal of Combinatorics.