• 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.

• Establish, recommend, and maintained RPA EMEA solutions for data pipelines that extract, transform and load (ETL) which has to date saved more than 42 FTEs.• Spearheaded the design of a ML classification pipeline for the bank's global KYC team fraud detection with an accuracy of 87%, equivalent to 5 FTEs. A total theft of £26M has been avoided.• Develop RPA and ML EMEA solutions from scratch, which save 17K hours per fiscal year.• Led and trained 5 RPA developers with optimisation developer guides constructed by myself.• Provide technical support for 10 different business areas.• Responsible for daily maintenance of more than 120 robot accounts and spearheaded the migration of more than 15 robots from old infrastructure.

I have tutored 50+ students from many different backgrounds – 12-year-olds, children that do A level computer science, university students and even a 60-year-old woman who was doing her Masters’ degree. I have taught face to face and online.Subjects that I teach• Machine Learning• Programming (Python / C)• Web development (HTML / CSS / JavaScript)