Glasgow, Scotland, United Kingdom
As a first-class Master's graduate in Computing Science from Glasgow University, I am a highly motivated and skilled individual with a passion for technology and innovation. With a solid foundation in programming languages such as Java, Python, and C, I have developed expertise in various areas of computing science, including data structures and algorithms and software engineering principles. I have worked in various roles in the fields of cyber security and software engineering, with several internships under my belt.
• Engaged in full-stack development for the Scottish Widows pension app, ensuring adherence to financial regulations. • Played a crucial role in migrating architecture to enhance scalability and support AI infrastructure development. • Led a discovery initiative for a new product, earning stakeholder approval to advance the project.
• Sole developer responsible for replacing a legacy Microsoft CRM system with a modern SuiteCRM solution using PHP, Angular, and GraphQL. • Owned the entire delivery lifecycle, from designing deployment pipelines to implementing infrastructure with the council's team. • Championed modernization of engineering practices, introducing Azure DevOps, Git, and Kanban workflows to enhance development culture.
Worked on various projects that required a deeply analytical mindset and the development of novel methodologies for reverse engineering software to solve unique problems.
Delivered a cloud-based VM infrastructure deployment tool and a resource booking system built on an open-source foundation, both shipped and adopted into active use by the team utilising Ansible and Terraform. •Built the booking system end-to-end using Docker, Bash scripting, and the XAMPP stack, contributing to a fully automated infrastructure provisioning workflow. •Served as Scrum Master for a cross-functional team of six, facilitating agile delivery of Ansible and Terraform-based infrastructure automation under senior technical guidance.
Worked to generate and analyse automated security reports that were the product of employee phishing campaigns and DMARC analysis.