Hi! I am a 5th Year CS Master's Student @ CMU, advised by Rashmi Vinayak in the TheSys group. I am fascinated by errors in computation and the algebraic structures that allow us to reason about fundamental hardness of correction. I am investigating the application of erasure codes in distributed storage systems through the convertible codes framework, a related, exciting subarea similar to the node-repair problem!
I was previously a SWE intern at Goldman Sachs in 2022, where I worked on the permissions streaming engine with the systems engineering team. This summer 2024, I will be joining Amazon as a SDE intern in Seattle, and in the fall, I will be heading to Purdue University to pursue a PhD in Computer Science!
Benchmarking Matrix Approximations for Deep Learning Recommender Systems for TPUs
We investigate how well do different matrix approximations perform on TPUs vs GPUs and CPU (March-June 2022)The Convertible Codes Framework
Cost of Conversion for Erasure Codes in Distributed Storage Systems and Optimal Constructions (February 2023-Present)
- On the Selberg Sieve (October 2023)
- Coding Theory and Applications to Storage Systems (May 2023)
- Matrix Approximations for Recommender Systems on TPUs (May 2022)