I am an Ethical Hacking graduate from Abertay University, with a passion for making security more dynamic and accessible.
With a strong foundation in security principles and AI technologies, I work on projects that leverage automation and intelligent systems to protect against emerging threats and improve operational efficiency.
Beyond my professional work, I enjoy exploring new technologies through passion projects that push me to understand what's possible in security automation and machine learning applications.
I developed an LSTM model to be able detect phishing attempts with a 98% accruacy. This model was implemented into the browser using a Firefox extension, making this tool easily accessible for users. Furthermore, this tool operates entirely on the client-side, ensuring data privacy, which is essential when potentially handling private data.
This Python script used Selenium to bypass Nessus' subscription based API restrictions, allowing for Student/Basic accounts to automate their network scans. This script currently allows users to configure their scans through the terminal, but can be altered to by fully automated, and scheduled.
I deployed a RaspberryPi hosting a website to enable local backups from within the network. The Pi ran a script that automatically uploaded any stored files from the site, to an AWS S3 Bucket, for accessability and aditional backup capacity.
I'm currently working on several exciting cybersecurity and machine learning projects.
Check back for updates!
Developing my blue team capabilities, will obtain the HTB certficate related to this topic.
Developing a fundamental understanding of containerisation and reprdoucable, reliable deployment.
Expanding my infrastructure automation skills with a focus on Ansible for configuration management and Azure for cloud deployment.
I have completed the following certficates, saving for the exam:
Completed all learning modules for Azure Fundamentals certification. Preparing for the assessment exam.
Will focus on implementing deep learning models for threat detection and automated incident response.