const role = "AI / Machine Learning Engineer";
BSc (Hons) Computer Science — First Class Honours | Aspiring AI/Machine Learning Engineer
First-Class BSc (Hons) Computer Science graduate specialising in applied artificial intelligence and machine learning. Experienced in the architectural design, training, and integration of complex models and autonomous agents. Proficient in building elegant backend systems and robust APIs to support heavy compute workloads. Seeking a specialized AI Engineering role dedicated to advancing intelligent software solutions.
Designed and built a cross-platform mobile app tackling student procrastination through AI-generated personalised learning routes, using the Gemini API for adaptive content generation.
Trained a convolutional neural network on chest X-ray scans to diagnose pneumonia, deliberately minimising training cost and inference time versus heavier baseline architectures.
Parallelised compute-heavy operations with a custom ThreadPool implementation, profiling before/after to validate performance gains and guide further tuning.
Led a team in designing and building a full-stack social media platform, using Laravel for the backend, React for the front-end, and Tailwind CSS for a responsive, custom UI.
Built a hiking companion app end to end, including an emergency SOS feature that automatically sends the user's live GPS location to a pre-set emergency contact at the press of a single button.
Led development of a cross-platform fitness tracking application built with .NET MAUI, taking ownership of core architecture and feature delivery.
Authored an 83-page technical publication covering LLMs, AI agents, automation, ML foundations and the open-source AI ecosystem.
Manchester Metropolitan University
Dissertation: "Synapse: An AI-Powered Gamified Mobile Platform to Combat Student Procrastination".
INTO Manchester
Further Mathematics — A*, Mathematics — A*, Physics — A.