AI Risk · Applied AI · Data Science · Business Intelligence · Singapore
From building AI to governing it.
Nearly a decade building AI across industry and research.
Now I'm focused on how we bring AI into the world safely and ethically — and on making AI risk and governance something you can explore.
About
These days, my focus is AI risk in regulated finance.
I came to it as a builder and researcher.
For nearly a decade I built AI across industry and academia, spanning e-commerce, research, an early-stage Web3 startup, and now regulated finance. What stayed constant was a focus on practical systems built with a business mind, using machine learning, optimisation, and business intelligence to turn data into decisions.
Moving into AI governance didn't mean leaving engineering behind. For me it is the same discipline applied to risk. Because I have built these systems myself, I know how they are made, where they fail, and what responsible AI has to mean once a product is in production.
I treat AI governance, risk, and safety as a field I am still actively learning. To make sense of it, I build open, interactive tools that turn these ideas into something easier to grasp. Some map how AI systems, risks, and controls connect. Others are study companions that make dense frameworks easier to navigate.
- PhD, Computer Science — Nanyang Technological University (Alibaba–NTU Joint Research Institute)
- M.Tech, Artificial Intelligence — National University of Singapore (Valedictorian)
- Doctoral research: sample-efficient deep reinforcement learning via generative models
Selected work
Things I've built.
Risk AI RiskAtlas
AI systems, risks & controls
An interactive learning lab for how GenAI and agentic AI systems work, where they fail, and how to defend them. Explorable system diagrams and step-by-step attack/defense simulations, with a risk taxonomy and control library mapped to OWASP LLM Top 10, MITRE ATLAS and the NIST AI RMF.
Governance IMDA Agentic AI Governance Study
A framework, made navigable
An interactive study companion that turns Singapore IMDA's dense Model AI Governance Framework for Agentic AI (v1.5) into navigable topics and a calibratable RACI accountability matrix — every claim traceable to source, with a worked financial-institution example.