• 🛡️ 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