Hello! I’m an Information Systems undergraduate at Singapore Management University, specializing in Artificial Intelligence and Business Analytics. Alongside my focus on AI, I have a strong foundation in full-stack development, enabling me to bridge the gap between data-driven insights and user-centric applications.
Throughout my journey, I’ve worked on diverse projects—from designing and deploying machine learning models for predictive analytics to developing dynamic, data-driven web applications. Collaborating with cross-functional teams, I’ve delivered impactful solutions that leverage cutting-edge technologies to solve real-world challenges.
My goal is to grow as a Machine Learning Engineer with a strong full-stack foundation, creating intelligent systems and applications that empower users and drive transformative change.
KPMG
SMART M3S
EngageNova
Full-Stack
Developed during Nomura AI Hackathon 2024, ESGeePeeTee is an ESG analysis tool that incorporates real-time news data from GDELT with AutoGluon, an automated multi-layered stack-ensembling ML library. It allows for a powerful, unbiased, and accurate ESG score prediction capabilities.
Full-Stack
Developed for Ellipsis X HST Tech Series Hackathon 2024, CrowdSight is a prototype that enables event organizers to model their event locations and use CCTV footage to visualize crowd density along predetermined exit routes.
Data Science
Developed an AI-driven solution to reduce subjectivity in PSC severity scores using Generative AI and AutoML, securing 1st place at the Maritime Hackathon 2025.
Feel free to reach out! I’d love to hear about innovative and challenging opportunities!