Machine Learning Engineer
• Secured £92K funding with Prof. Jonathan Loo which were given in two phases – research and proof of concept.• Developed and designed a real-time robotic arm anomaly detection system for preventive control with 93.18% accuracy.• Utilised a front-end panel that allows model selection and training and real-time anomaly monitoring.• Present the project to potential investors and venture capitalists, effectively showcasing the projects’ potential for business applications.