CV

Professional Summary

As a Software Engineering student, I blend technical expertise with diverse interests. I'm proficient in Python, Java, and C++, specializing in machine learning. My projects include a YOLOv5s parking space detection system enhanced with CBAM attention mechanisms and a CNN-based skin cancer diagnostic tool developed at Cambridge. I'm experienced with data engineering technologies and cloud platforms, along with containerization, database optimization, and caching systems.

Fluent in Mandarin, English and Cantonese with conversational skills in Russian and German, I excel in cross-cultural environments. My curiosity for new technologies and ability to quickly adapt to emerging tools positions me well for the rapidly evolving field of software engineering.

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Skills

Software Development Programming AI Data Mining
Social Media Business Analysis Marketing Creative Initiatives

Projects Experience

2024.8

Skin Cancer Detection Using Convolutional Neural Networks | University of Cambridge

I developed a skin cancer detection system leveraging deep learning technologies. The system utilized a modified AlexNet architecture, implementing a lightweight CNN model built with PyTorch to classify skin lesions as benign or malignant. By incorporating attention mechanisms, the model adaptively focused on crucial regions within images while effectively suppressing interference from irrelevant information, which substantially improved classification accuracy. The project demonstrated how specialized neural network architectures can be applied to critical medical diagnostic challenges.

2023.10-11

Automatic Parking Space Detection Using Deep Learning | GuangDong University of Foreign Studies

Working with deep learning and computer vision technologies, I designed a lightweight YOLOv5s architecture enhanced with CBAM attention mechanisms to dynamically allocate feature weights. This approach significantly improved parking space recognition accuracy in challenging scenarios like backlighting and obstruction. I optimized the YOLOv5s network structure by integrating CBAM attention mechanisms to enhance both real-time performance and accuracy. The system was specifically tuned for various parking scenarios, ensuring robust center point localization and parking space inference.

Education

2022-2026

GuangDong University of Foreign Studies

Bachelor in Software Engineering

Core Courses: Natural Language Processing, Machine Learning, Data Mining

2019-2022

Guangzhou No.6 Middle School

Bachelor in Software Engineering

Core Courses: Natural Language Processing, Machine Learning, Data Mining

Interests

I'm really into planes and love spotting different aircraft when I travel. Railways fascinate me too—there's something special about train journeys. I enjoy thinking about how cities work, from their road networks to overall planning. Maps and geography have always clicked for me, and I rarely get lost. I speak Mandarin at home, plus Cantonese and English comfortably, with a bit of Russian and German I've picked up along the way. Meeting new people and experiencing different places keeps life interesting. When I have free time, you'll probably find me on the badminton court, where I play at a competitive level.