Yi Kwan NG

Directed full lifecycle development of applications including an internal intranet platform, voting system, and daily operation system. Acted as key liaison between end-users, internal teams, and external vendors, driving requirements analysis, system design, and delivery coordination.

Developed and maintained software applications, focusing on backend systems and APIs using Django and frontend integration with Vue.js. Optimized data pipelines and automated workflows to improve system efficiency.

Designed and developed AI models for cryptocurrency price prediction using TensorFlow and Scikit-learn. Delivered a fully automated asynchronous trading system on AWS EC2 with Lambda and Docker, and performed ETL operations using MongoDB.

Optimized Java codebase for a cryptocurrency trading platform and its administrative systems. Managed MySQL database and built advanced administrative tools for analysis of user trading statistics and market trends.

Maintained and enhanced the market-maker system to maximize performance and efficiency. Collaborated with the team to develop and refine market-making strategies and developed real-time monitoring tools.

Conducted research on cryptocurrency markets and trading platforms. Developed software packages for connectivity to trading platforms, created machine learning tools for price prediction, and implemented Telegram bots for real-time tracking and trading.

Pursuing an MSc in Machine Learning and Data Science, focusing on advanced topics in machine learning and data science.

Earned a BSc (Hons) in Applied Computing, with coursework in programming and software development.

Completed the Diploma of Secondary Education Examination (HKDSE).