Personal Summary

Coursework:

• Security of Systems and Networks: mobile app security risk assessment, incl. transport-layer testing
• Cybercrime and Forensics: memory and disk forensics investigation using Volatility and Scalpel
• Offensive Technologies: reverse engineered an Android app to bypass its pricing logic; reproduced CVE-2021-3156, a heap-based buffer overflow in sudo
• Advanced Security: built a Bluetooth Low Energy MITM proxy, set up a working WiFi Pineapple rogue access point

• Coursework: Computer Organization, Computer Networks, Operating Systems, Databases, Machine Learning
• Completed a research internship as part of BSc thesis on phishing detection tooling

• Classified dark web domains and phishing websites against CFLW's existing intelligence taxonomy
• Addressed operational and business problems as they arose (e.g. website design, event participation) using a requirements engineering approach: evaluating options, weighing trade-offs, and presenting recommendations, including demos
• Produced internal documentation and training materials

• Researched applications of Large Language Models (LLMs) within the field of cybersecurity
• Instruction fine-tuned an existing LLM and compared its performance to a non fine-tuned counterpart

• Investigated core requirements for translating the phishing detection tool BigPhish from proof-of-concept to operational use, conducting a literature review, consulting investigators, and identifying priority solutions
• Research was conducted as part of the BSc thesis project

• For the courses: Operating Systems, Software Design, Human-Computer Interaction, and Software Engineering Processes
• Conducted tutorials and offered academic guidance and support to students, addressing questions and clarifying concepts
• Graded assignments, maintaining a fair and consistent evaluation process