Projects

BUCSSA application portal & official website

As a vice president and elected president of BUCSSA(Boston University Chinese Students & Scholars Association) Technology Department, developed and maintained a website with features including freshman orientation, event registration, accounting and sponsorship management, and real-time high-concurrency voting.
The main development was done using Flask and React, with SASS as the CSS preprocessor. The high-concurrency components were developed using Rust and the Tokio multi-threading framework, while AWS MySQL was used for the database.
Utilized Caddy and Cloudflare for reverse proxying, deployed the system on AWS EC2 instances with Github Action, and integrated Sentry for real-time error tracking.

As a vice president and elected president of the BUCSSA Technology Department, developed and maintained a website with features including freshman orientation, event registration, accounting and sponsorship management, and real-time high-concurrency voting.
The main development was done using Flask and React, with SASS as the CSS preprocessor. The high-concurrency components were developed using Rust and the Tokio multi-threading framework, while AWS MySQL was used for the database.
Utilized Caddy and Cloudflare for reverse proxying, deployed the system on AWS EC2 instances with Github Action, and integrated Sentry for real-time error tracking.

Inspired by an open-source project called CircuitJS, implemented in 3D game engine to make it less abstract for secondary school students.
Created using Unreal Engine 4, the model was crafted with SketchUP and Blender, with materials designed using Substance 3D.

A multiplayer pixel-platformer game based on the pygame library and UDP sockets.
The whole system could run without a centralized server, and clients could join the session by inputting the address of any other player.

A web crawler enabling students to estimate their GPA by providing their ManageBac session token, especially when the school has disabled the feature displaying the overall score.
The UI is supported by Capacitor and Echarts, with the crawler implemented on multiple platforms using Node.js (Electron) for desktop, Java for Android, and Swift for iOS.
Approximately 60% of students have in installed on their laptops in school, with an overall estimation accuracy of about 75%.

Using C# drivers to communicate high-frequency RFID antennas, processing data with Python, and exporting to Excel.
Reducing congestion at the starting point of the circular track by at least 50% and compressing the daily 20-minute data analysis to an instant task