I'm a 1st-Class BSc Computer Science graduate with a keen interest in pairing full-stack development & applied machine learning to produce reliable software solutions which solve real business problems.

Seeking entry-level/graduate tech-roles, freelance opportunities, and placements nationwide.

Languages: C#, Python, Java, HTML & CSS, SQL (MySQL & SQL Server)

Web Frameworks: Angular, ASP.NET

Data & Machine Learning: Pandas, Matplotlib, Numpy, Sci-kit Learn, supervised learning, exploratory analysis and preprocessing

Architecures & Practices: Clean Architecture, Command Query Responsibility Segregation (CQRS), Agile development, Unit/Integration/E2E testing

Tools: Git, RabbitMQ, Docker, JWT authentication

I'm actively expanding my technical portfolio and commercial experience through personal and industry projects across data analysis, machine learning, and full-stack web development.

My current personal projects allow me to maintain my software development proficiency and help build my technical knowledge, more specifically across the maintainability and scalability of systems, CI/CD, and cloud deployment. I also revisit and modernise existing projects to apply improved development practices and demonstrate how my technical understanding has progressed.

Gaining industry experience is also really important to me, I have completed a placement with HARTS (Hospital Arts, Liverpool) as a Junior Business Systems Developer. I developed a database management desktop application during this time to reduce the administrative workload for members of staff.

I am currently working for VuelaNova as a full-stack engineer, tasked with the end-to-end development of their website with regular stakeholder engagement, contributing towards an Agile team.

Across my projects, I am particularly interested in understanding the business problem behind a system—not simply implementing technology for its own sake.

Bartering Platform: A full-stack .NET 8 microservices and Angular frontend application with a strong focus on modularity and loose coupling. The application serves as a platform for exchanging goods/products between users based on selected filters, showcasing architectural patterns such as CQRS and Clean Architecture, RabbitMQ messaging. The project is currently going through a unit testing phase before I plan to add CI/CD practices using GitHub Actions. Please refer to my Bartering-Platform repository for further details.

Hospitality Sales Forecasting Platform (Currenly on hold): A capstone web application, .NET backend and Angular frontend, following Clean Architecture whilst leveraging machine learning approaches analysed within my Comparative Forecasting Analysis to accurately forecast hospitality sales. The goal is to improve staffing and inventory decisions. Please refer to my Hospitality-Sales-Forecasting-Platform repository for further details.

Comparative evaluation of forecasting approaches for hospitality sales: Implementation and comparative evaluation of forecasting hospitality sales using SARIMAX, XGBoost, and Lasso. Models trained on cleaned & preprocessed data, using identical expanding-window time-aware evaluation protocols, with appropriate MAE, RMSE, and MASE metrics reported and compared alongside forecasting behaviour and redisudal diagnostics. Additional analyses include imputation strategy analysis, training optimisation analysis, and feature-contribution analysis. Please refer to my Comparative-Forecasting-Analysis repository for further details.

Desktop Planner: Python & PyQt 5 project centred around turning a student's or professional's day into a focused checklist, syncing tasks & deadlines with the user's Google Calendar. Tasks can be added, modified, deleted, categorised (module specific or general) and checked off through a simple, navigable interface featuring a prominent day-to-day checklist. This project has been recently modernised and re-branded with a more advanced UI and less student-specific but still clearly focused. Please refer to my Desktop-Planner repository for further details.

Database Management System: Built during my Junior Business Systems Developer role at Hospital Arts (HARTS), Liverpool: Python & Tkinter desktop application centralising admin data, reducing the manual workload for members of staff. Please refer to my Database-Management-System repository for further details.