Independently developed, deployed, and maintained software solutions for Fortune 100 conglomerates, including: - Load balancing software managing traffic for large-scale, multi-continental networks - Real-time product diagnostics tool leveraging Kubernetes and scheduled pods - Enhanced CI/CD tools for streamlined code deployment and maintenance - Engineered and implemented Selenium-based end-to-end testing frameworks for product user interfaces, enhancing overall software reliability - Enhanced and maintained software for data migration and synchronisation between large-scale data systems, ensuring efficient and accurate data transfer processesUtilized a diverse tech stack, including: - C# .NET 8 - Entity Framework Core - ASP.NET - MediatR - Automapper - React JS - Jenkins Pipelines - Docker Kubernetes - Harness - AWS Training - Python - Git and GitHub actions - Azure Based VMs - SpecFlow integration tests and unit tests, improving code coverage and reducing defects - Collaborating with QA lead to optimise CI/CD pipelines, significantly improving code quality and reducing time-to-deployment - Implemented and adhered to stringent programming practices, ensuring high-quality, maintainable code across all projectsDemonstrated ability to deliver high-impact solutions for enterprise-level clientsProficient in full software development lifecycle, from conception to deployment and maintenance

Lead the development and integration of software for an international autonomous motorsport team, spearheading the creation of a fully autonomous electric racing vehicle.Implementing cutting-edge technologies such as:- Implemented advanced machine vision systems utilising LiDAR and stereo camera setups, enhancing environmental perception capabilities- Supervised and optimised simultaneous localization and mapping (SLAM) algorithms, improving real-time spatial awareness and navigation accuracy- Designed and deployed Deep Reinforcement Learning models for real-time path planning, enabling dynamic decision-making in complex environments- Utilizing advanced vehicle dynamics simulators, IPG’s Carmaker, to optimize vehicle performanceLead the Vehicle Development Department, orchestrating the integration of software, hardware, and mechanical systems for electric vehicle developmentServing as President and Project Lead, overseeing all aspects of team operations, strategy and communicationsDriving innovation in autonomous systems to compete successfully on an international scale

Consistently maintained First Class Honours standing throughout studies, demonstrating academic excellence and commitment to learningProject Worked on include:- Designed and Deployed supervised machine learning classification models in order to predict the solar energy potential across the United Kingdom- Engineered and implemented core operating system functionalities in PintoOS, including kernel-level system calls and robust argument parsing mechanisms, enhancing low-level system performance and functionality- Designed, Developed, and Deployed a full stack hotel booking web app leveraging Python Django, SQLalchemy, JavaScript, and UML DiagramsLed multiple project teams, demonstrating strong leadership skills through effective resource planning and deployment, schedule management, and setting clear project expectations, enhancing both technical and interpersonal competencies