I am a final-year PhD student in the Department of Computer Science at Duke University, where I have the privilege of working under the guidance of Pankaj K. Agarwal. I design algorithms with provable guarantees for problems arising in ML and large-scale data-processing pipelines.
* Equal contribution; authors are listed in alphabetical order.
Rahul Raychaudhury, Aryan Esmailpour, Sainyam Galhotra, and Stavros Sintos. Metric k-clustering using only Weak Comparison Oracles. International Conference on Learning Representations (ICLR), 2026
Pankaj K. Agarwal, Rahul Raychaudhury, Stavros Sintos, Haibo Xu, Jun Yang.* Coresets for Robust Query Optimization. ACM Symposium on Principles of Database Systems (PODS), 2026.
Rahul Raychaudhury, Wen-Zhi Li, Syamantak Das, Sainyam Galhotra, and Stavros Sintos. Metric Clustering and Graph Optimization Problems using Weak Comparison Oracles. Annual Conference on Learning Theory (COLT), 2025.
Aryan Esmailpour, Sainyam Galhotra, Rahul Raychaudhury, and Stavros Sintos.* A Theoretical Framework for Distribution-Aware Dataset Search. ACM Symposium on Principles of Database Systems (PODS), 2025.
Mohsen Dehghankar, Rahul Raychaudhury, Stavros Sintos, and Abolfazl Asudeh. Fair Set Cover. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025.
Pankaj K. Agarwal, Sariel Har-Peled, Rahul Raychaudhury, Stavros Sintos.* Fast Approximation Algorithms for Piercing Boxes by Points. ACM-SIAM Symposium on Discrete Algorithms (SODA), 2024.