ALIX JAMES CORLEY

A highly skilled and driven cyber security professional with a BSc (Hons) in Computer Science (Cyber Security) from the University of Greenwich, accredited by GCHQ. With hands-on experience in vulnerability management, penetration testing, and secure communication protocols, I specialize in identifying security risks and developing mitigation strategies to protect digital infrastructures. My Final Year Project involved securing access control systems by comparing Wiegand and OSDP protocols and implementing AES-128 encryption to address vulnerabilities. Known for my ability to work effectively under pressure and collaborate across teams, I excel at explaining technical concepts to both technical and non-technical stakeholders. My passion for offensive security and continuous learning has driven me to hone my skills in red & blue teaming, vulnerability scanning, and scripting. Highly-motivated employee with desire to take on new challenges. Strong work ethic, adaptability, and exceptional interpersonal skills. Adept at working effectively unsupervised and quickly mastering new skills.

• CompTIA (Security, Network & Cloud)
• Offensive Security Certified Professional - (OSCP)
• Firebrand - Certified Information Systems Security Professional (CISSP)

• STEM news and research (Keeping up to date with disruptive technology)
• Hacking Gadget Collection (Wi-Fi Pineapple, Bash Bunny, Chameleon Rev G, Bit Flipper Zero)
• Cyber Warfare & APT's
• Astronomy
• Photography
• Camping & Travel
• Family & Friends
• Anime & Gaming

• Hackathon Success: Won 1st place in two university hackathons, demonstrating exceptional skills in penetration testing, vulnerability assessment, and offensive security techniques using Kali Linux.
• Final Year Project (FYP): Developed a secure sandboxed environment using AES-128 encryption to protect Wiegand and OSDP protocols in access control systems. Successfully simulated and mitigated man-in-the-middle, replay, and downgrade attacks, improving overall system security.
• Automation of inefficient manual data entry and tasks (I programmed my entry job away), using a Computer Vision library and Python. For Smart Spaces I often have to configure hardware on site at smart buildings, I built a Raspberry Pi than could do my job remotely (I prefer to work smarter not harder). The efficiency of these tasks was improved by at least 1000%, unblocking task(s) that was a time bottleneck, and now instead is a scalable, reliable, program.