• Training, testing and developing ML models for production
• Computer vision with deep learning
• Electronics engineering and hardware integration
• Received outstanding end of year evaluation and references (available on request)

As part of my degree, I spent 12 months in Munich working with BMW’s Digital Key team, gaining experience across software development, machine learning and automotive hardware. I worked on production ML models and development tooling, while also working directly with vehicles to capture CAN data, test features and investigate issues. Later in my placement, I moved into a prototyping team, working with computer vision, surround-view and fisheye camera systems on vehicles fitted with bespoke hardware.

Beyond the technical experience, working at BMW gave me a valuable insight into developing software as part of a large-scale hardware product. It taught me how software development is shaped by the constraints, dependencies and longer development cycles of a wider engineering ecosystem.

• MSci in Software Engineering (1st)
• GPA 21/22
• Awards for highest grades in 2026, 2024 and 2023
• Awarded for final year project with the best evaluation (2026)
• 5 years of Formula Student UK participation, achieving 2nd place in the AI category
• Attended European Defense Tech Hackathon
• Finished 2nd place in DYHTG hackathon 2023

I have consistently achieved top grades throughout my time at the University of Glasgow, receiving awards for my academic performance in my second, third and fifth years of study. My final year dissertation investigated deep learning methods for simultaneous localisation and mapping for robots and received the award for the Level 4 project with the best evaluation. In the summer of 2023, I also undertook an EPSRC funded research internship investigating the effectiveness of deep learning models for learning vehicle dynamics, giving me further experience in machine learning and robotics research.

In 2021, I joined the UGRacing student society, competing annually in the Formula Student competition. I initially worked as a software developer in the perception team, developing C++ and Python software using stereo cameras and LiDAR before becoming Head Software Engineer for the 2023 to 2024 season, where the team finished 3rd overall. I returned as an adviser for the 2025 to 2026 team, helping the team achieve 2nd place and developing a custom miniaturised autonomous driving platform for continuous integration and testing.