Pursuing B.S. Computer Science at FIU
I'm Alejandro Perez Domenech, a computer science student at Florida International University. I enjoy building projects in web development and data management systems with knowledge in Java, Python, and Godot.
About
I'm a computer science student who enjoys building things end-to-end, from backend systems and data pipelines to the frontend experiences that bring them to life. I've explored this through projects spanning web development, API integrations, and game engines like Godot, and I have a growing interest in how data and systems design shape the way people interact with software. I'm always looking for opportunities to deepen my technical skills and take on new engineering challenges.
Projects
Steam Analytics
- Built a Python program that interfaces with Steam's API to retrieve and display user-specific statistics such as recently played games, online status, and account value.
- Resolved several undocumented Steam Web API quirks, including handling the deprecated GetAppList endpoint, detecting free-to-play titles, and correctly filtering delisted games from playtime/spend calculations.
UE4SS Reverse-Engineering & Modding
June 2026
- Reverse-engineered a stripped Unreal Engine 5.7 game binary in Ghidra to recover a core engine function signature (StaticConstructObject_Internal) that the modding framework UE4SS could not locate on the unsupported engine version.
- Authored a wildcarded byte-pattern (AOB) signature to resolve the function at runtime, bringing the framework online, then built a Lua gameplay mod against a custom character-movement component. Published to GitHub.
CloudCast - Team Capstone Project
May – July 2026
- Built a full-stack weather web application with a Spring Boot backend and vanilla JavaScript frontend, integrating the OpenWeatherMap API for current conditions, 5-day forecasts, geolocation, and severe weather alerts.
- Implemented 3 of the team's 5 development sprints, including Maven build configuration and API integration, while collaborating with two teammates under faculty supervision.