Developer & Security Researcher
AI/Computer Science graduate specializing in Python development, network security, and machine learning. Building secure, intelligent systems with a focus on real-world impact.
Hybrid intrusion detection system combining XGBoost + Isolation Forest. Real-time network attack detection trained on 2.8M flows with 99.83% precision. Detects 15+ attack types with role-based dashboard and threat mapping.
Browser-based ASCII art colorization with 8+ dynamic color schemes. Supports Python export, Unicode/braille art, and AI-enhanced color detection. Features noise FX, sparkle toggles, and real-time preview.
HTTP header modernization tool with dynamic Firefox/Chrome detection. TLS/HTTP2 fingerprint impersonation via curl_cffi. Generates 1075+ valid user agent strings for advanced network reconnaissance.
Real-time video-to-ASCII streamer for Teams/Discord integration. OpenCV frame capture, PIL rendering, with passwordless sudo and systemd persistence for seamless deployment.
I'm a Computer Science & AI graduate from Collège La Cité (2026) with a passion for building secure, intelligent systems. My journey in tech spans from network security fundamentals to cutting-edge machine learning applications.
Currently exploring opportunities in Ottawa's IT sector, focusing on cybersecurity, Python development, and AI integration. I bring a unique blend of theoretical knowledge and hands-on project experience.
When I'm not coding, you'll find me diving deeper into penetration testing, exploring Linux customization, or working on open-source security tools.
Open to opportunities in Ottawa's IT sector. Let's build something amazing together.