Lam Hui Shan

I am passionate about solving real world problems using AI technology. With the right application, I believe AI could improve our life -- and I am excited to be part of this rapidly evolving industry.

I am constantly learning and building solutions using machine learning, deep learning and natural language (NLP).

• Hands on experience in building chatbot using RAG techniques, continuing improving the reliability of generated answer. 
• Developed an AI-powered reading tool that provide real-time reading support for slow readers through intelligent feedback mechanisms leveraging LLM, ASR, custom pause detection algorithm and hybrid model to enhance speed and accuracy.
• Developed a responsive rule-based expert system in early detection of oak wilt, implemented cognitive maps, inference network and knowledge engineering to structure domain knowledge.
• Trained multi-layered perceptron (MLP) to predict diabetes using biological data from the National Institute of Diabetes and Digestive and Kidney Diseases dataset, achieving an accuracy of 79% through data preprocessing and hyperparameters tuning.

1. SMK(L) Methodist: STPM Science stream
2. Universiti Utara Malaysia (UUM): Bachelor of Science with Honours (Information Technology)
   • major in Intelligent System