Mohammad Raouf Abedini
AI Security Researcher
AI security researcher and final-year Cyber Security student at Macquarie University (graduating November 2026) with demonstrated ability to independently discover, validate, and responsibly disclose cross-platform vulnerabilities.
Authored “The Invisible Window” — a 12-page IEEE-format security research paper demonstrating 100% screen capture evasion on Windows 10/11 and macOS 14–26 using documented OS-level APIs, with a novel finding that Apple's macOS 15 mitigation remains ineffective on macOS 26.
Fluent in Python with production experience across C/C++, TypeScript, and Swift. Completed AI model evaluation for Anthropic (Claude Code Human Preference), benchmarking LLM code outputs for quality, security, and reliability. Motivated by reducing catastrophic risks from advanced AI — eager to measure capability uplift, characterise safety boundaries, and develop defensive applications.
Specializations
Vulnerability Research & Disclosure
- Cross-Platform Exploit Development (Win32 API, macOS ScreenCaptureKit)
- Responsible Disclosure (OWASP/FIRST/CISA Frameworks)
- IEEE-Format Security Research
- Penetration Testing & Secure Code Review
- W3C Screen Capture Specification
AI Safety & LLM Security
- LLM Integration & Evaluation (Anthropic)
- AI-Assisted Vulnerability Research
- AI Capability Uplift Measurement
- Dual-Use Risk Assessment
- Intent-vs-Artefact Safety Boundary Characterisation
Python & Systems Programming
- Python (Primary), C, C++, TypeScript, Swift
- High-Performance C/C++ Systems (1M+ ops/sec)
- Network Packet Processing (libpcap)
- Linux (Ubuntu/Kali), CMake, Docker
- GitHub Actions CI/CD, Google Test
Offensive Security
- Threat Modelling (MITRE ATT&CK, OWASP Top 10)
- Network Intrusion Detection Systems
- Wireshark, Nmap, Burp Suite
- NLP-Powered Phishing Simulation
- NIST Framework & Compliance
Skills Matrix
Active Operations
Education
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.