Background

A Deep Learning solution designed to detect forged SMTP headers. This project addresses the scarcity of labeled datasets in cybersecurity by employing Synthetic Data Generation to train robust models capable of identifying sophisticated phishing attempts.

• Tech Stack: Python, PyTorch.
• Outcome: Published as a full paper at SBSeg 2025.

A recreation of the Space Invaders in the terminal written in Assembly P3.

• Challenge: Managing memory and processor instructions directly to handle game logic, rendering, and user input without high-level abstractions.
• Tech Stack: Assembly P3.

A 3D procedural generated maze game featuring physics mechanics inspired by Quake.

• Challenge: Implementing collision detection, movement physics, procedural generation, and 3D rendering logic using pure C.
• Tech Stack: C and OpenGL.