Mar 2025 - Present

- Managed workload across multiple projects to ensure timely delivery.- Collaborated with SMEs and Startups to gather requirements, design features and build scalable solutions to support business growth.- Applied Agile/SCRUM Methodologies, Version Control (Git) and wrote effective documentation to ensure efficient and maintainable code.- Built and maintained APIs and Automation Scripts, improving system performance and streamlining enterprise workflows.

University of Sunderland

- Graduated with a First Class Honours degree.- Relevant Modules: Software Development, Web Development, Database Systems, Artificial Intelligence.- Gained Team Leadership skills through the coordination and delivery of an Enterprise Software Project for a real-world client.- Completed a final year project on evaluating the availability of a given username across multiple social media platforms using web scraping techniques.- Developed strong programming, problem-solving and project management skills.

East Durham College

- Graduated with a Grade B.- Gained a strong understanding of programming concepts and computer systems.- Relevant Modules: Computer Systems, Programming, Algorithms, Data Structures and Software & Web Development.- Developed a secure Virtual Learning Environment (VLE) that focuses on the improvement of Security Measures for students.

Languages/Tech: Python, Prisma, Discord.JS, REST APIs

- Designed and implemented a Discord Bot with TypeScript and Discord.JS, with a modular command and event handling system that simplifies feature expansion and reduces code duplication.- Implemented a structured configuratiion and environment variable handling system with Zod to ensure robust validation and type safety.- Applied best practices in error handling and graceful failure patterns to improve runtime stability during concurrent user interactions.- Optimized message and interaction flow to minimise unnecessary API calls and prepare for scalability under high user loads.

Languages/Tech: Python, Pycord, FastAPI, HF Diffusers

- Engineered an AI-driven Discord Bot using Python and Pycord, alongside FastAPI for backend services and Hugging Face Diffusers for seamless AI model integration.- Integrated text-to-image generation capabilities, allowing users to create images from prompts directly within Discord, enhancing user engagement.- Abstracted interactions with AI Models through user-friendly commands, allowing non-technical users to easily generate images.- Expanded the functionality of the bot to include general-purpose features while maintaining core AI capabilities, ensuring versatility and user retention.- Adhered to open-source development practices to ensure clean, maintainable code as well as community adaptability.

Languages/Tech: Python, PyTorch, Kaggle

- Structured a Convolution Neural Network (CNN) from scratch using PyTorch to provide accurate classification of Brain Tumors from MRI Scans.- Researched and preprocessed a dataset of over 5,000 MRI Scans from Kaggle, ensuring high-quality input data for model training.- Experimented and fine-tuned a variety of hyperparameters, including learning rate, batch size, and number of epochs, to optimize model performance.- Trained the model using GPU acceleration, with a batch size of 32 over 40 epochs, using the SGD Optimizer with the Cross-Entropy Loss function.- Achieved a classification accuracy of 93%, with an average loss of 0.24, an F1 Score of 0.926 and a Mean Squared Error (MSE) 0.152.