cv

PhD

University of Southampton, Southampton, UK

• UAS Quantitative Risk Analysis

Bachelor of Engineering

University of Southampton, Southampton, UK

• First Class Honours
• Modules include: Aerodynamics, Astronautics, Flight Mechanics, Systems Design and Computing
• Societies include: Formula Student, Human Powered Aircraft, Robotics Society and Gliding Society

A-Levels

Leighton Park School, Reading, UK

• Physics, Maths, Further Maths, Design+Tech
• A*A*AA

Software Engineer

Tekever

• Delivered multiple Machine Learning/AI research projects by mining open Big Data sets
• Prototyped models using well-known Python libraries (Pandas, Dask, SKLearn and TensorFlow) in Jupyter Notebooks
• Implemented leading Anomaly Detection algorithms (Active Isolation Forests, LODA and Support Vector Machine) from scratch in C# .NET as class libraries for integration with main codebase
• Prototyped several Recurrent Neural Network (RNN) architectures (Bi-directional LSTM, GRU, NARX and Clockwork RNN) for marine traffic trajectory prediction
• Created Literature Review and full documentation for code with use cases and future projects/roadmaps

President

Southampton University Gliding Club

Engineering Student Ambassador

University of Southampton, Southampton, UK

• Represented the University at high stakes events such as Open Days. Undergone training to ensure adherence to Competition and Marketing Authority regulations
• Inspire and inform prospective students and parents in ‘drop-in’ events where any questions can be asked. This requires me to think on my feet and draw on my knowledge of the engineering courses and options offered by the University as well as my own experiences

seedpod_ground_risk

• Ground Risk model for UAS flight path analysis and risk-aware path finding .