AI Software Engineer.

I combine the strategic thinking of a marketer with the technical skills of a software engineer. The result is business-oriented application that's not just well-built, but also deeply in tune with user needs.

View My Work

About Me

My path to software engineering started not with code, but with curiosity. During my early career in marketing, I was constantly looking for ways to improve our processes. I realised that many of our daily tasks could be streamlined with programming and became fascinated with the power of automation. Putting theory into practice, I developed an automation tool for my company that culminated in a 69% improvement in stock uploading efficiency. Seeing that level of impact firsthand convinced me to turn this passion into a profession, leading me to earn a Bachelor's Degree in Computer Science. Today, I bring that same problem-solving mindset from my original home in Hong Kong to my work here in the UK.

Today, I am a passionate problem-solver dedicated to writing clean, maintainable code. I thrive on building user-centric applications that provide tangible, real-world value—a perspective uniquely sharpened by my marketing insights. Based in Manchester, I am now actively seeking a full-time software engineering opportunity where I can bring this powerful blend of technical skill and user-empathy to a forward-thinking team.

author image

Skills

Languages

  • Python
  • Java
  • SQL
  • JavaScript
  • HTML & CSS
  • MySQL

Frameworks & Libraries

  • PyTorch
  • Pandas & NumPy
  • Scikit-learn

Tools & Platforms

  • Microsoft Azure (AZ-900)
  • Amazon Web Services (AWS)
  • Git & Version Control
  • Docker
  • Google Analytics

Projects

project image

AI-Powered COVID-19 Detection from CT Scans

This project is an artificial intelligence model designed to assist medical professionals by rapidly analyzing lung CT scans. It addresses the time-consuming challenge of manual analysis by automatically identifying potential indicators of COVID-19, providing a powerful 'second opinion' to help focus expert attention where it's needed most.

Key Features:

  • Automated Image Segmentation using a U-Net model.
  • AI-Powered Anomaly Detection to highlight regions of interest.
  • Generates an intuitive visual 'mask' for clinical review.

Technology Stack:

Python PyTorch Pandas NumPy Scikit-learn OpenCV
View Code (Coming Soon)

Get In Touch

I'm currently seeking new opportunities and am open to freelance projects. My inbox is always open, whether you have a question or just want to say hi. Let's connect!