Mohammad Raouf Abedini
Cybersecurity & AI Security Engineer
Final-year Cyber Security student at Macquarie University (WAM: 76+) obsessed with building SOC pipelines, detection engines, and AI threat tools.
I ship production applications serving 1,000+ end users across 70+ independent projects spanning web security, mobile, full-stack, and AI tooling — embedding security from threat modelling through to deployment and incident remediation.
I specialize in full attack–defence simulations (cloud, AD, hybrid), Australian compliance automation (SOCI, Essential Eight, CDR), and pushing the limits of AI + cybersecurity.
Specializations
Offensive & Defensive Security
- Penetration Testing & Red Teaming
- Active Directory Attack & Defence
- Malware Analysis & Sandbox RE
- SIEM / SOC Automation (SOAR)
- T-Pot Honeypot & Threat Intel
AI / ML Security
- LLM Red Teaming & Jailbreak Detection
- AI-Powered Scam Detection (Transformers)
- ML Network Anomaly Detection
- Real-Time Phishing Browser Extension
- Adversarial Prompt Injection Testing
Cloud & Infrastructure
- AWS / Azure / GCP multi-cloud
- Kubernetes & Docker orchestration
- LEO Satellite Cyber Lab (uplink/spoofing)
- CI/CD security hardening
- Cloudflare Workers & edge security
Australian Compliance
- SOCI Act — asset classification engine
- Essential Eight continuous auditor
- CDR / FAPI / OAuth conformance
- Privacy Act & PQC migration auditor
- MITRE ATT&CK maturity mapping
Skills Matrix
Active Operations
THE_LABEducation
Bachelor of Cyber Security
2024–2026Macquarie University · WAM 76.27
Digital Forensics · Network Security · Cloud Computing · NLP & ML · Offensive Security · Applied Cryptography
Diploma of Information Technology
2023–2024Macquarie University · WAM 71.75
Foundations in systems, networking, and software engineering.