☕️Undergraduate majoring in BSc Computer Science
I am a third-year undergraduate student at the University of Melbourne, and I also completed a semester-long exchange program at the Chinese University of Hong Kong. I have a strong interest in machine learning and have conducted research on applying reinforcement learning to reduce traffic congestion caused by autonomous vehicle empty cruising. Beyond academics, I have strengthened my practical skills through internship experience.
Experience
Undergraduate Researcher
The University of MelbournePublication / Manuscript- Optimized autonomous vehicle parking strategy for a network of 1,000+ vehicles and 200+ agents.
- Designed a deep reinforcement learning based routing strategy to mitigate congestion caused by parking-substitute cruising while ensuring timely service.
- Proposed a flexible, personalized model that reduces reliance on top-down manager policies and achieved average speed improvements over baselines.
Data Analyst
Geely Baikuang GroupCompany- Executed database operations on 2,000,000+ records: extraction, cleaning, and maintenance.
- Prepared and presented analysis reports to management, translating insights into recommendations.
- Developed automation scripts, a web application, and a mini program to streamline workflows and improve system efficiency.
Education
BSc Computer Science (First-Class Honours)
The University of MelbourneGPA: 87.9 / 100 (First-Class Honours). Relevant coursework and project work in data structures, algorithm design, computer vision, and mobile app development. Conducted undergraduate research in reinforcement learning for autonomous vehicle routing and parking-substitute cruising.Exchange — Computer Science
The Chinese University of Hong KongExchange student (6 months). GPA: 3.63 / 4.00 (90.75%). Completed coursework and academic collaboration while on exchange.
Primary language for research, scripting, and automation tasks.
Deep learning framework used for implementing and training neural networks, including RL experiments.
Applied RL algorithms for routing optimization and parking-substitute cruising scenarios.
Experience in modeling, evaluation, and implementing applied ML workflows.
Traffic simulation software for multi-agent transportation experiments.
Proficient in large-scale data extraction, cleaning, and querying using SQL and relational databases.
Backend and web development experience, including building full-stack projects.
Strong experience with Java programming, including OOP, data structures, and algorithms.
Proficient in C programming, with experience in systems programming and low-level problem solving.
Full-stack development experience in academic and industry projects, covering both client-side and server-side.
Experience in Android app development and building mini-programs for mobile platforms.
Applied knowledge of data structures and algorithms in coursework, coding challenges, and projects.
Self-taught from UMich EECS 498-007 / 598-005; applied CV techniques in personal projects including image processing and object detection.