About Myself 👋

I’m a CPA turned machine learning enthusiast, focusing on computer vision. I quickly mastered ML from scratch, winning tech challenges and investigating methods for optimizing performance of ML, and deploy them for fulfilling real life senarios. As a keen learner, I’m eager to optimize ML models, especially for human nerve signal detection.

Previous Publications 📚

Keypoint-Guided Ophidian Transformation for String-Shaped Data Augmentation

December 2024

This paper is about a novel image augmentation technique called KGOT (Keypoint-Guided Ophidian Transformation) designed for string-shaped objects, particularly snakes. It demonstrates improved classification accuracy compared to traditional augmentation methods.

View all publications

Previous Projects 💼

Store Choicy

May 2024

An AI-powered platform helping entrepreneurs find the perfect location for their business

Cancer Classifier

April 2024

Early detection skin cancer classifier using machine learning

View all projects

Future Aspirations 🚀

As I continue to grow in the field of machine learning and computer vision, I’m particularly excited about:

Advancing human nerve signal detection through ML optimization
Exploring new applications of computer vision in healthcare and biomedical engineering
Collaborating on interdisciplinary projects that bridge my CPA background with cutting-edge ML technologies

Get in Touch 📬

I’m always open to discussing new projects, innovative ideas, or opportunities to apply my skills. Whether you’re looking for a collaborator on a research project, need insights on ML optimization, or just want to connect, I’d love to hear from you.

Feel free to reach out to me at p233340@hsu.edu.hk.

Becky Kwok