Cybersecurity researcher & engineer building autonomous AI defence, adaptive deception with containerised honeypots, real-time telemetry, forensics & behaviour-based attribution. MSc Distinction, UWS London — top of cohort. Founder & CEO, Cubix Code.
Specialising in AI-enabled cyber defence, adaptive cyber deception, containerised honeypots, real-time threat detection, security telemetry, digital forensics, and behaviour-based attribution. Expertise across penetration testing, malware analysis, threat intelligence, incident response, network security, applied cryptography, and GRC.
CTF challenge designer, hackathon jury member, technical trainer, academic presenter — offensive & defensive security, CTF problem-solving, dark-web / TOR, privacy, ethical research.
Autonomous defence, deception platforms, telemetry, forensics.
Research → intelligent, deployable, resilient products.
Security tooling, automation, analytics.
Org / office / business databases.
Industrial security exposure.
CTF designer • jury • trainer • presenter. Dark-web architecture, TOR, privacy, ethics.
MSc Advanced Computer Security — Distinction
Jan 2025 – Mar 2026 • Top of cohort
BSc Software Engineering
Sep 2020 – Jul 2024
Enterprise Security Nanodegree
Mar 2024 – Aug 2024
Research roles • funded PhD • scholarships • collaborations • projects.
LinkedIn: muhammad-shahzad-72baa2238 • Wembley, UK • Cubix Code