Software Engineer
I design and develop reliable, user-focused applications across the web and beyond.
const reece = {
focus: "Full-stack web",
stack: ["Next.js", "SQL", "Python"],
based: "Poole, Dorset",
status: "Open to opportunities",
};Computer Science graduate with a passion for software engineering, full-stack development, and creating technology that delivers true value.
I graduated with a BSc (Honours) Computer Science from Plymouth University and an MSc Management from the University of Exeter Business School.
My academic background provided a strong foundation in software engineering through C# and the .NET framework while exploring a broad range of technologies including Python, Java, JavaScript, machine learning, and software design patterns.
Since graduating, I've continued developing my skills through personal projects and professional courses covering React Native, Node.js, advanced Python, cloud technologies, and modern web development.
Combining technical expertise with business knowledge enables me to approach problems from both engineering and commercial perspectives, allowing me to build software that is not only technically robust but also delivers meaningful value.
Digital Service Desk Developer
Operations Technician
Trampoline Coach & Head of Marketing
Cyber Security Analyst (IT Industrial Placement)
Full history available in my CV.
Contributed to the Logging, Monitoring and Alerting (LMA) project at the Met Office, using the Elastic Stack to search, analyse and visualise large volumes of system data. The project supported the Cyber Security team's ability to identify and investigate potential threats by making relevant information more accessible and actionable.
A sports facility observation system developed as my final-year BSc Computer Science project. SafeGaze explores how software can support the observation and monitoring of sporting environments, bringing together a purpose-built application to support the facility's operational needs.
A recipe management web application that helps users organise their recipes and build shopping lists around the meals they want to prepare. Built with Next.js and Firebase, the project also served as a practical exploration of Firebase integration within a modern web application.
A Python machine learning application that recognises handwritten characters drawn by the user through a custom graphical interface. The project combines character recognition with an interactive GUI, demonstrating the practical application of machine learning to user-provided input.
A C# simulation exploring ant colony behaviour and interactions with their environment. The simulation models how ants respond to nearby food sources and neighbouring colonies, providing a way to experiment with the collective behaviour that emerges from simple agent interactions.
A full-stack inventory management application built with the MERN stack, featuring secure JWT-based authentication and real-time updates. Users can organise and categorise assets, assign custom statuses, and track inventory through structured data tables. The application is deployed on Render and demonstrates the integration of a React frontend with a Node.js, Express and MongoDB backend. The live demo is currently running without its backend services, so login and inventory management functionality are unavailable. Please refer to the source code for the full implementation.
More on my GitHub
Developed robust applications leveraging C# and the .NET framework.
Strong understanding of object-oriented programming, design patterns, and software architecture.
Built web applications using PHP during university and expanded to full-stack development with MERN and Next.js after graduation.
Experienced in creating dynamic, maintainable, and responsive applications, covering both front-end and back-end development.
Gained expertise in Python applications and advanced concepts, including alternative paradigms.
Applied Python to data analysis, automation, and machine learning tasks in both academic and professional settings