I am a Third-Year Computer Science student, who has a particular enjoyment in games programming, especially in C++ with OpenGL and SDL. But my interests also extend into the wider field of software development, and I am always looking to learn more.
Below, I have pinned some of my current best / most notable projects - a combination of personal and university coursework. Where possible, clips of these projects in action have been linked to view via YouTube, with the Channel itself accessible here.
A simple minecraft-styled game featuring a procedurally generated interactible environment in 16x16x256 block chunks. Developed primarily over Summer-Spring of 2024-2025, its continued work has now halted in favour of developing a proper 3D voxel-based game engine from the ground up.
Whilst that project is not able to be displayed publicly yet, hopefully the existing project will give visitors some insight into where I began.
Inspired by the Junimo Kart minigame found in Stardew Valley, I decided to recreate it for my first real attempt at games programming. It features randomly generated levels, with collectables, obstacles and checkpoints. Whilst I would now consider the code behind it of an abysmally poor standard, it does work!
A C++ application that interacts with a local sqlite database to register student and staff accounts, and create and assign lessons for modules to students. Originally intended to use a GUI via Qt, this would be dropped for the later versions. Still uses the Qt Test Framework.
An application made using Java, to simulate delayed file transfers over a load-balanced network. Users would interface through a JavaFX Portal, with the network was simulated via a Docker Network. Additionally featured a MySQL server, and local sqlite database.
This report aimed to produce and compare the effectiveness of Machine Learning models in predicting high-income developers, based upon their characteristics and responses to the 2024 Stack Overflow Annual Developer Survey.
The report contains the full process of the CRISP-DM flow, from Data cleaning to model refinement and comparison. Models produced would reach accuracies of over 80%, using characteristics such as Industry, Years of work experience and education level.
I have also hosted workshops aimed at First-Year Students, to provide assistance with the foundations of Python and C++.
Python Workshop Repository 2024
If for any reason you wish to contact me, you can:
- message me on LinkedIn
- email me via
cew05@outlook.com