I am Qiaolin Yu, a graduate student at Cornell University and Cornell Tech. My interests primarily focus on machine learning infrastructure, database systems, and storage systems. Currently, I work as a research intern at Cornell Computer Systems Laboratory, advised by Udit Gupta. I also work closely with Zhichao Cao. I have three papers that are under revision, where I serve as the first author for one paper, co-first author for another paper, and third author for the third paper.
In conjunction with my academic endeavors, I have amassed significant industrial experience through a series of internships. I will join Databricks as a software engineer intern in 2024 summer. Previously, I have interned in the compute architecture team at PingCAP, the Azure Machine Learning team at Microsoft, the ByteHouse team at ByteDance, and the graph database team at Kuaishou.
MS, Computer Science and Information Systems
Cornell University (Cornell Tech), 2023.08 - 2025.05
BS, Computer Science
University of Liverpool, 2019.09 - 2023.07
Advised by Udit Gupta.
Optimizing data I/O performance in end-to-end recommendation systems.
Advised by Zhichao Cao.
Conducting research on RocksDB and its related database systems, such as MyRocks, NebulaGraph, and Kvrocks, with a focus on their performance.