- 🛡️ Cybersecurity-focused Final Year Computing Systems Student
- 🔍 Built ML-based anomaly detection system (84% accuracy)
- 🌐 Developed secure full-stack applications with authentication & payments
- ⚙️ Hands-on with OWASP Top 10, NIST CSF & Zero Trust
- 🚀 Seeking Junior Cybersecurity Analyst / Security Engineer roles
I build systems that detect threats, secure applications, and handle real-world attack surfaces.
- 🎓 Final Year BSc (Hons) Computing Systems — London
- 🛡️ Strong interest in Cybersecurity & Threat Detection
- 🔐 Focus on secure architecture & real-world attack mitigation
- 🚀 Combining Machine Learning with Security systems
- Achieved 84% anomaly detection accuracy using streaming ML models
- Analysed real-world network traffic (CICIDS dataset) for intrusion patterns
- Built lightweight monitoring system suitable for Raspberry Pi deployment
- Reduced false positives by tuning detection thresholds on traffic features
Tech: Python, Scikit-learn, Pandas, Zeek, Raspberry Pi
- Designed full-stack platform for tracking and visualising breach data
- Implemented secure APIs aligned with Zero Trust principles
- Processed unstructured threat data (TTPs, leaks, indicators of compromise)
- Built modular backend for scalability and real-time intelligence updates
Tech: Flask, MongoDB, Angular, Docker
- Developed production-ready platform with authentication & role-based access
- Integrated Stripe payment system with secure transaction handling
- Applied OWASP Top 10 mitigations (input validation, auth security, etc.)
- Implemented admin dashboard with analytics and system monitoring
Tech: React, Node.js, PostgreSQL, Stripe
- Conducted structured audit using NIST CSF, PCI DSS, and GDPR principles
- Identified 12+ critical vulnerabilities with CVSS-based prioritisation
- Produced remediation roadmap improving organisational security posture
- Simulated real-world audit workflows and compliance reporting
Tech: Python, NIST CSF, CVSS
