Bridging theoretical complexity with hardened production environments. Holding a BSc in Applied Mathematics & Computer Science (UNISA), I apply mathematical rigor to infrastructure and sports analytics. Certified Associate Data Scientist (Python) and TryHackMe SEC1, backed by CISCO Networking foundations. I build systems that don't just work—they endure.
My approach is dictated by the "Thin Client, Thick Backend" paradigm. Whether it's a Flutter UI or a sports prediction engine, I believe in offloading computational weight to high-performance, containerized backends.
Leveraging Monte Carlo simulations and Markov chains, I transform raw data into strategic insight, while maintaining a "security-first" posture across the entire stack.
A high-performance P2P marketplace for hookah rentals. Engineered with Flutter and a "Thick Backend" using Go, utilizing geolocation and real-time payment processing.
Authored the Telegram bot integration for the PentAGI autonomous security project. GPG-signed verified contributor.
Sports analytics engine using Markov chains to simulate 10k matches for high-probability outcome forecasting.
Available for DevSecOps architecture, secure app development, and data science consulting.