I'm a Computer Engineering & Computer Science student at the University of Southern California who loves solving interdisciplinary problems — especially where data, strategy, and product design meet. I enjoy building things that are both analytically rigorous and intuitively designed, whether that’s a predictive model, a clean interface, or a system that makes complex information easier to act on.
I'm especially interested in equities, quantitative finance, product development/management, and software engineering — essentially, anywhere I can combine technical depth with thoughtful decision-making.
Programming Languages
💻 C, C++, Python, React
🧠 SQL
Data Science and Analysis
📊 Pandas, NumPy, Matplotlib, Plotly
🧠 scikit-learn, TensorFlow
💹 yfinance (market data + financial analytics)
🎨 Figma
APIs and Backend
🔌 REST API design & implementation
📡 JSON, CSV
🌐 Flask (lightweight backend / API development)
Systems and Hardware
🐧 Linux (Ubuntu; CLI workflow)
🍓 Raspberry Pi (sensors, prototyping)
⚡ Arduino (embedded C / microcontrollers)
Web and Design
🧩 HTML, CSS, Figma
Human Languages
💬 English, Cantonese Chinese, basic Mandarin Chinese and French
An intelligent risk assessment tool for wildfire-prone areas, combining data visualization, machine learning, and user-friendly design to help inform communities real-time. Enhanced by Gemini AI chatbot.
A simple tool to calculate and visualise the RSI (Relative Strength Index) of a stock for you to easily compare RSI trends with price data.
A quantitative simulation engine that analyses the performance of the Kelly Criterion money management strategy.
✨ Thanks for visiting my GitHub profile!
