About Me
Software engineer building bespoke solutions across healthcare, education and industrial sectors. I work end-to-end on products, from understanding user requirements to designing and developing tailored systems. Day-to-day involves full-stack development in close collaboration with clients and cross-functional teams.
Strong academic interest in data-driven systems and machine learning. During my degree I focused on predictive models and optimisation, particularly in sports analytics.
My Journey
Experience
The Curve Consulting
Software Engineer
Returned in a permanent role after a successful internship. Working on software projects across healthcare, education and industrial technology, collaborating closely with teams and clients to deliver quality solutions.
The Curve Consulting
Junior Software Engineer
Year in industry supporting multi-sector client projects. Gained hands-on experience in agile delivery and software development. Worked across six projects, engaging closely with clients and contributing to bespoke software solutions.
Education
University of Sheffield
BEng Software Engineering w/ Year In Industry
1st Class Honours
Software Hut Prize — Recognised for outstanding software development for a real-world client.
Foundation in core software engineering principles, programming and machine learning through coursework and practical projects.
NCUK
International Foundation Year Programme
Chemistry (B), Mathematics (A*), Physics (A)
Engineering foundation equivalent to A-Levels, developing core knowledge in engineering and mathematics for university study.
Projects
Candido
A full-stack job application tracker that helps users manage their job search. Add roles, move them through stages as you progress, and keep everything organized in one place. Built with Next.js, Express and PostgreSQL, deployed in AWS. Go give it a try at https://candidohq.com!
- Kanban-style board with drag-and-drop to move jobs through stages
- Bulk import from Excel (.xlsx, .xls) and CSV with flexible column mapping and status aliases
- Rich job descriptions with TipTap editor and CV/cover letter uploads stored in S3
- Deployed in AWS using ECS and RDS, built with Docker Compose
Automated Fantasy Premier League
Built an machine learning system to predict Fantasy Premier League player performance and automate squad optimisation. The project combined time-series modelling, feature engineering and optimisation techniques to support data-driven decision making under uncertainty.
Swaya App
Contributed significantly to the implementation of a cross-platform mobile application for a multi-academy trust, used by thousands of students across multiple colleges. The project focused on allowing students to complete surveys and feedback forms, allowing teachers to view the results to improve the student experience.
Study Seed
Developed a functional prototype and product concept for an AI-powered study planning application as part of a Google AI developer competition. The project explored the use of generative AI to deliver personalised study plans by transforming sample questions and lecture contents into study materials. Institutions would supply their own material, which the application would leverage to generate personalised learning resources for each student.
Get in Touch
Whether you have a project in mind or want to connect, I'd be glad to hear from you.
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