Software Engineer
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Recent Graduate with 6 months of industry experience (not including university) as a Software Engineer.
Industry Experience is on the frontend with JavaScript, Vue.js, HTML/CSS, and Three.js.
Personal development experience currently with React for my portfolio and Golang for a custom project designed to enable the user to automate and schedule tasks on other devices over a local network, as well as providing the tools to be able to orchestrate data pipelines on a system
Software Engineer - Copner Biotech Ltd. - 6 months:
● Led the architecture and development of a next-generation CAD platform for proprietary 3D and 4D Bioprinting technology, replacing legacy software.
● Designed and implemented a cross-platform, low-maintenance backend using Node.js and Express, enabling zero-setup client access over LAN or localhost.
● Developed a responsive SPA frontend using Vue.js, JavaScript, HTML/CSS, and Three.js, resulting in an intuitive, low-latency user experience.
Grade: 2:1Including Large-Scale Databases, Informatics, Communication Networks, Combinatorial Optimisation, Object Orientation, Algorithms and Data Structures
Part of Degree - 2nd Year Group Project
● Led the Android development sub-team for a real-time personal safety app targeting the night-time economy, as part of a larger group of 8.
● Built a secure Android application in Java, integrating Google Maps SDKs for journey tracking and using TLS-secured HTTP APIs for server communication.
● Implemented functionality to monitor user journeys and automatically send SMS alerts to emergency contacts if deviations were detected.
● Achieved a final project grade of 86%.
Automated Cyber Defence Through Deep Reinforcement Learning
Part of Degree - Final Year Individual Project
● Developed reinforcement learning models in Python to automate cyber defence tasks, using the TTCP CAGE Challenge 2 simulation environment.
● Focused on training blue team agents with PPO models making use of LSTM nodes with Stable Baselines 3, applying hyperparameter tuning through Optuna.
● Designed adversarial conditions by modifying red team strategies dynamically to assess model robustness.
● Conducted performance analysis on policies with nodes that allow decisions to be influenced by historic transitions; findings were inconclusive but informed recommendations for future research.
● Achieved a final project grade of 80%.
