About Me

I am an undergraduate student at the School of Computing and Data Science, The University of Hong Kong, maintaining a 3.7/4.3 GPA and earning a place on the Dean's Honors List. I have achieved excellent academic results in mathematical statistics, linear algebra, and probability theory.

I am pursuing a second major in Finance, which has sparked my strong interest in interdisciplinary research at the intersection of finance and computer science. Within my major, I focus on financial computing and am interested in machine learning and multimodal learning. I hope to combine my knowledge of finance and algorithms for applications in quantitative trading and data science in the future.

If you are interested in my projects or would like to connect, please feel free to reach out via email. I am always eager to discuss ideas and explore potential collaborations.

Skills
Programming
Python C / C++ Java HTML/CSS/JS PHP SQL Solidity Bash
Data & Machine Learning
PyTorch scikit-learn Pandas / NumPy Matplotlib
Tools & Environments
Git Docker WSL 2 Cursor Claude Code LaTeX
Languages
Mandarin (Native) English (IELTS 7.0) Cantonese (Basic)
Education
Sep 2024 — May 2028
The University of Hong Kong
BEng in Computer Science · Second Major in Finance
GPA: 3.7/4.3 · Dean's Honors List (2024-2025)
Jan 2027 — Jun 2027
National University of Singapore
HKUWW Exchange Program
Experience
Jun 2025 — Jul 2025
Financial Intern - CITIC
Systematically studied fundamental financial products and their operating fundamentals.Undertook hands-on practice in basic tasks such as stock management, asset allocation, and wealth management. Paid a visit to the company’s headquarters in Beijing to gain an understanding of the organizational structure and primary functions of departments within the securities industry. Visited a range of public and private fund companies, engaging in exchanges and learning activities with fund managers.
Oct 2024 — Oct 2025
Internal Secretary
Chinese Scholar and Student Association (CSSAUD)
Projects
Web3.0 Quantitative Trading Bot (HackerU Trading)
Lead Strategy Developer & Feature Engineering
Developed automated data fetching via APIs and built machine learning features driven by order flow. Built a dual-model ensemble strategy using LightGBM and XGBoost with dynamic position management, achieving up to 1% ROI in 10-day backtests.
Trading Visualization Platform
Personal Project
Built a full ML evaluation pipeline covering data cleaning, feature construction, signal generation, and multi-model training/comparison. Developed QuantModel Evaluator for batch evaluation of sklearn-style models.
C++ Game Development
Lead Developer (Course Project)
Designed and implemented the core combat module of a survivor game, including player controls, dynamic zombie generation, collision detection, and console-based UI rendering.
Quick Info
Year
Sophomore (Class of 2028)
Location
Hong Kong, HK
Research Focus
ML · FinTech · Quant Trading