Completed Colt Steels Web Development Bootcamp, working on various web applications covering many areas of Web Development such as: Front End, Back End, DOM Manipulation, RESTful Routing, Authentication etc. Developed a full stack NodeJS application (YelpCamp), a campground rating app, where users can create their own campgrounds, view and comment on other campgrounds.

Worked within a team to develop JavaScript pitch detection and training application to assist singers with their vocals by prompting them with notes that they should aim to match and showing them the current note being detected.

Analysed data provided by train providers to find relationships between the number of passengers boarding and the number of devices connected to the internet. Created scripts using Python to filter the data through the API provided. This allowed us to easily select the required information and present it in a more readable form.

Programmed a solution for a security issue that prevented the use of Dash (Python Framework) with MindSphere. Making the platform more accessible to Python developers.
• Developed a VanillaJS application to monitor and visualise real time air quality data pulled from numerous sensors around the city.
• Managed the development and deployment of a new Python data analytics tool.

Produced a dynamic web application alongside 6 team members. A file hosting service for easy management of files between devices.
• Designed to work and feel like an operating system with features aimed at optimising time management and workflow. Voted most intuitive and appealing design amongst 40 projects.
• Tools used include: JavaScript, jQuery, NodeJS

Developed a 3D simulation of the Solar System using C++ and OpenGL Library.
• Built the model to represent all the planets and some of the bigger moons and their relative orbits

Built a VanillaJS application for visualising maze-generation algorithms such as Depth First/Recursive backtracking.
• Experimented with developing various algorithms that produce mazes with different characteristics

Worked within a team to develop JavaScript pitch detection and training application to assist singers with their vocals by prompting them with notes that they should aim to match and showing them the current note being detected

Analysed data provided by train providers to find relationships between the number of passengers boarding and the number of devices connected to the internet.
• Created scripts using Python to filter the data through the API provided. This allowed us to easily select the required information and present it in a more readable form.

Contributed to an open source multi-user, client-server application with 6000 Java classes covering the process of bug fixing, feature development and code refactoring.
• Managed issue tracking, code quality, build/test automation, and version control using: Eclipse, Git, Jenkins.