Biography

My interests primarily focus on machine learning systems. Before that, I interned at Databricks, PingCAP, Microsoft, ByteDance, and Kuaishou, working on cache, cloud database systems, ML infra, and graph database systems.

I was fortunate to be advised by Prof. Zhichao Cao, working on LSM-Tree based key-value store. Also, I worked as a research intern at Cornell Computer Systems Laboratory, advised by Prof. Udit Gupta.

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News

[2024/02] My first-author paper was accepted by SIGMOD 2024. Super excited!!!

[2023/09] Got the 2024 summer internship offer from Databricks. See you all in Mountain View!

Education

Cornell University (Cornell Tech) Aug 2023 - May 2025

MS, Computer Science and Information Systems

University of Liverpool (Xi'an Jiaotong-Liverpool University) Sep 2019 - Jul 2023

BS, Computer Science

Industry Experience

Databricks May 2024 - Aug 2024

Software Engineer Intern

Built a simulator from scratch for the automatic sharding service.

PingCAP Aug 2022 - May 2023

Software Engineer Intern, Cloud Database System

Developed the auto-scaling feature for TiFlash (the analytical engine for TiDB) from the ground up.

Microsoft May 2022 - Aug 2022

Software Engineer Intern, ML Infra

Built infrastructure for Azure Machine Learning service.

ByteDance Jan 2022 - Apr 2022

Software Engineer Intern, Cloud Native Data Warehouse

Worked on ByteHouse (also known as ByConity within the open-source community), a cloud native data warehouse.

Kuaishou Jun 2021 - Sep 2021

Software Engineer Intern, Graph Database System

Designed and developed infrastructure for NebulaGraph clusters.

Research Experience

Computer Systems Laboratory, Cornell University Jan 2024 - Dec 2024

Research Intern, Machine Learning System

Advised by Prof. Udit Gupta.
Optimized data I/O performance in end-to-end recommendation systems.

Intelligent Data Infrastructure Lab, Arizona State University Dec 2021 - Apr 2024

Research Intern, Storage Engine

Advised by Prof. Zhichao Cao.
Conducting research on RocksDB and its related database systems, such as MyRocks, NebulaGraph, and Kvrocks, with a focus on their performance.

Publications

CaaS-LSM: Compaction-as-a-Service for LSM-based Key-Value Stores in Storage Disaggregated Infrastructure

Qiaolin Yu, Chang Guo, Jay Zhuang, Viraj Thakkar, Jianguo Wang, Zhichao Cao.
ACM Conference on Management of Data (SIGMOD 2024), Research Track Full Paper.

[paper] [code]

Prophet: Optimizing LSM-Based Key-Value Store on ZNS SSDs with File Lifetime Prediction and Compaction Compensation

Gaoji Liu, Chongzhuo Yang, Qiaolin Yu, Chang Guo, Wen Xia, Zhichao Cao.
International Conference on Massive Storage Systems and Technology (MSST 2024), Research Track Full Paper.