Fresh graduate of NUS, majoring in Mathematics and Computer Science
I'm a fresh NUS graduate in Mathematics and Computer Science, drawn to problems where rigorous math meets real-world data. My work spans quantitative finance, where I used Monte Carlo methods to price options, and machine learning, where I built a regression model to predict Singapore HDB resale prices.
My capstone project was about using Monte Carlo simulations to price options. The paper mainly focuses on different variance reduction techniques, placing emphasis on mathematical proofs.
Learn more & run the live simulation →A self-hosted, privacy-first calendar built to match Google Calendar feature for feature, with full data ownership. It turns incoming emails into proposed events via a local LLM, syncs over CalDAV, and ships as an installable PWA with web push reminders.
Learn more & try the demo →This project uses machine learning, specifically the gradient boosted regressor model, to predict future resale prices of Singapore HDB flats.
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