I’m a Singapore-based data scientist, AI consultant, and instructor with nine years of experience across data architecture, machine learning, and agentic AI. I’ve worked across Asia, the UAE, the US, and with UK clients for Grab, Oliver Wyman, banks, and telcos.
Today I’m Head of DevRel at Virtuals Protocol and building CALMWORKS, my consultancy for data architecture, agent systems, and production AI.
Through CALMWORKS, I work with enterprises and tech startups as a builder and forward-deployed engineer, moving from architecture and product thinking to working systems.
Delivering fractional data architecture and AI engineering for enterprises and tech startups, including digital banking, legal tech, and developer education.
Leading developer relations and AI product development. Architecting agent frameworks and seeding the marketplace with companion, evaluator, and adtech agents while mentoring engineers across the ecosystem.
Taught and supported data science and analytics classes covering Python, SQL, Tableau, scikit-learn, and applied analytics workflows. Helped learners make technical concepts practical through hands-on exercises and real-world tooling.
Designed the data model for Thailand's largest bank, optimised for a lakehouse architecture on Databricks. Databricks partner champion.
Designed Azure data mesh platforms and AWS data architectures for a major Japanese telco and Malaysian FSI. Built ML models for HR analytics using Databricks model registry and serving. 11 cloud certifications across Databricks, Azure, and AWS.
Built data pipelines and datamarts for 5+ SuperApp categories with 9+ external partners. Developed causal inference models and A/B test frameworks to quantify product impact at scale. Built an internal tool to democratise causal inference across the org.