Projects
Things I've built
A selection of research and engineering work spanning graph neural networks, GenAI, sports analytics, and applied ML.
TAGON — Graph Neural Networks for Sequential Recommendation
Temporal Attention Graph-Optimised Network modelling dynamic user interactions, improving relevance and timeliness by 20% across five real-world datasets and outperforming SOTA baselines in precision, recall, and user satisfaction.
Icarus AI — GenAI Job Recommendation
Explainable job recommendation platform using candidate CVs and LLMs to deliver personalised career suggestions. Earned Third Place at the NTU Deep Learning Week Hackathon.
Speech Emotion Recognition with Bi-GRU + Attention
Bi-directional GRU with attention mechanisms on the MELD dataset, improving classification accuracy beyond single-utterance baselines for multi-party dialogue and cross-utterance emotional dynamics.
Expected Goals Model — Singapore Football
Spatio-temporal xG framework combining KNN, Random Forest, Logistic Regression, and neural networks with ensemble methods. Achieved 99.58% accuracy on a 1M-point English Premier League dataset. NTU President Research Scholar.
Delphi — News Credibility via GCNs
End-to-end misinformation detection pipeline using GCNs over Twitter propagation patterns, achieving 95% accuracy. Awarded "Innovative Use of Natural Language Processing" distinction.