• Graduated with First Class Honours.
• Undertook electives in Machine Learning and Business Strategy.
• Specialised in Software Development - created a visual FEA tool to predict stresses in sheet metal stamping.

• Preformed emissions reporting and due diligence on existing spare engine portfolio valued at over $7billion to inform future strategy.
• Analysed the present and future portfolio to conduct market forecast to increase portfolio value by $5billion in 2030.

Turbines Design Engineering

• Closed out 82 Safety Alert Reports relating to the turbines sub-system.
• Drafted a 160-page Safety report for Chief Engineer approval.

Compressor Blade Manufacture

• Utilised Systems Engineering to plan and create a solution to solve the problem.
• Delivered a literature revew and design report for a novel compressor blade encapsulation method.

Customer Technical Support for Europe, Middle East & Africa

• Interpreted and improved Engine Manual and Aircraft Maintenance Manual technical publications.
• Drafted and issued 19 Technical Variances, valued at $35,000 each, to reduce operational disruptions.
• Failure investigation and owner of 2 cases following Trent 900 in-service events.

Data & Ai Analytics

• Conducted clustering analysis to determine the effect of operational patterns on turbine blade corrosion fatigue.
• Presented at the Royal Statistical Society International Conference 2025.

• Leader of a team which raised over £6,000 for the King’s Trust.
• Organised a recruitment Hackathon with 127 students in attendance.
• Successfully secured £1,500 of seed funding for fundraising by presenting to a “shark tank” of Execs from blue-chip companies.

EasyA x VeChain Cambridge Hackathon

• Created a decentralised App on the VeChain blockchain in under 48 hours.
• Winner of the runner’s up prize in the technical track, receiving £1,000 worth of VeChain tokens.

Building Machine Learning Models

• Conducted web-scraping and data clean-up to create a dataset with over 2.4million data points with Selenium, NumPy, and Pandas in Python.
• Automated the training and fine-tuning of over 100 Deep Learning models with TensorFlow in Python.

Accreditation:

Associate Member of the Institute of Mechanical Engineers.

Engineering:

Systems Engineering, Failure Investigation, Technical Communication, Technical Publications.

Languages:

Cantonese (Native), English (Fluent), Mandarin (Fluent).

Technical Skills:

Python, Javascript, SQL, MATLAB, Machine Learning, Microsoft Excel.

Soft Skills:

Leadership, Teamwork, Presentation, Business Acumen, Finance.

Interests:

Automotive, Aerospace, Business, Bodybuilding, Marathon Running.