Work

The ASEAN AI Innovation Lab

A lab in Singapore where enterprises and public sector teams take agentic AI from pilot to production, launched with Google Cloud and Digital Industry Singapore.

I lead the lab and its team of data scientists, data engineers, and full stack engineers. Work is built on the Kyndryl Agentic Framework, with governance designed in from the first sprint: policy as code, clear decision rights, and human oversight where it matters.

The lab also runs enablement. In July 2025 we kicked off a cohort of the AI Cloud Takeoff program with Digital Industry Singapore and Google Cloud, with hands-on labs on conversational AI.

• The Straits Times
• Singapore EDB launch release

Generative AI in anti-money laundering

Applying generative AI to anti-money laundering work at M-DAQ Global, a cross-border payments and FX company.

AI in hospitality and logistics operations

Conversations with Ian Loe of Frasers Hospitality and Dr. Yap Kwong Weng of YCH Group on how AI is reshaping operations across ASEAN, published by Kyndryl.

• Kyndryl newsroom
• Vietnam SuperPort video, Google Cloud Cloudversations

Responsible AI in healthcare and aerospace

An enterprise AI roadmap discussion with leaders from Mirxes and SAESL and Google Cloud: culture, responsible AI from day one, and centers of excellence that scale.

• Watch the conversation

Image-based motor claims

I led the development and regional launch of an AI product that processes motor insurance claims from images, as part of the AI and analytics strategy I owned for the non-life business in Asia.

The Regional Analytics Center I led served Southeast Asia, Japan, Korea, and India, building models for pricing, product development, and claims with primary insurers across the region.

• Techerati interview on machine learning in insurance

Predictive models in production

As Senior Manager for Predictive Analytics, I put many predictive models into production across Prudential, moving data science from analysis to systems the business ran on.

IT operations analytics

I led the data science and engineering practice for IT operations analytics: text analytics and statistical models on operations data to find and prevent incidents. I also worked on Watson Analytics.

• IT Operations Analytics, insideBIGDATA (archived)

Distributed reinforcement learning on Spark

I took my research on reinforcement learning for electricity market bidding and built it as a distributed system on Apache Spark, presented at Spark Summit in San Francisco.

• Spark Summit slides