I am a PhD student at Boston University researching database systems and data management. My work involves designing practical, data-aware structures that exploit the structure of data and it's distribution to reduce latency and memory footprint. My overarching goal is to build data structures that can be integrated into practical applications and make existing technologies more practically implementable.
Recent News & Highlights
- September 2025 Our paper at AIDB 2025 received Honorable Mention Award!
- August 2024 Our paper on AXE: A Task Decomposition Approach to Learned LSM Tuning has been accepted at PVLDB!
- July 2025 Our paper on Exploring Wavelet Trees as Space-Efficient Physical-to-Sorted Mapping for Learned Indexes has been accepted at AIDB 2025!
- January 2025 Presented our work on split Learning for Robust LSM Tuning as Poster at NEDB Day 2025
- September 2024 Started my PhD at Boston University, advised by Prof. Manos Athanassoulis
- June 2024 Attended Summer School@Dagstuhl with Goetz Graefe !
- March 2024 Gave my first talk at KubeCon, Europe 2024 with Prof Langdon White "Watch here"
- January 2024 Presented our work on Robust LSM Tuning as Poster at NEDB Day 2024
- 2022-2024 Completed Masters at Boston University - Thesis on Tuning LSM Trees using Bayesian Optimization Optimization
- June, 2019 - August, 2022 Software Developer at Oracle, Bangalore