2023 — 2025
Master of Philosophy, Computer Science and Engineering
UNSW Sydney
Machine Learning-Based Data Structures · Thesis: Deep Skyline Community Search
Completed 24 July 2025 · Conferred 28 August 2025
About
Research-minded. Product-oriented.
I work where graph learning, data systems, and practical software engineering overlap.
I am an AI, data systems, and full-stack engineer with an MPhil in Computer Science and Engineering from UNSW Sydney. My research explores community search, graph neural networks, graph data systems, and machine learning-based data structures.
Alongside research, I build practical software: big-data workloads with Spark and Hadoop, full-stack products, WeChat mini-programs, and early-stage AI SaaS products including Song2Notation and Agarwood AI.
Research interests
- Graph machine learning
- Community search
- Machine learning-based data structures
- Data-intensive systems
- AI product engineering
背景简介
中文简介
我是一名专注于人工智能、数据系统与全栈产品开发的工程师，毕业于新南威尔士大学计算机科学与工程专业 MPhil。我的研究方向包括社群搜索、图神经网络、图数据系统与机器学习数据结构，同时持续将研究思维用于可落地的 AI 产品与 SaaS 原型。
Education
Academic path
2019 — 2021
Bachelor of Science
UNSW Sydney
Computer Science · Database Systems
Completed 16 December 2021 · Conferred 31 January 2022
Experience
Work and teaching
Dec 2023 — Sep 2024
Frontend Software Engineer
Shook Cafe
Built a WeChat mini-program for event publishing, registration, role-based operations, export workflows, and platform content-safety checks; deployed supporting services on AWS EC2.
Sep 2023 — Mar 2024
Teaching Assistant / Tutor · COMP9311 Database Systems
UNSW CSE
Delivered postgraduate tutorials covering relational design, SQL, transactions, indexing, and query optimization; assessed coursework and supported students through forums.
Aug 2021 — Jan 2022
General Software Engineer Intern
Huawei Hangzhou Research Institute
Ran and debugged Spark SQL workloads, used Spark UI and YARN to diagnose data skew, OOM, shuffle, executor, CPU, and memory bottlenecks, and analyzed execution plans and resource configuration.