Biography will be updated soon.

As a VP of Architecture and Development at DBS Bank, he leads the design and implementation of cloud-native microservices using open-source technologies for payment, remittance, and anti-fraud solutions. ??With over 19 years of experience across Java technologies and financial products-spanning derivatives, FX, counterparty and credit risk, and equities-he has successfully delivered multiple large-scale projects, including Fast Identity Online (FIDO), DigiVault and Fraud Detection systems. Notably, he led the decommissioning of Murex software, replacing it with an in-house collateral management system that saves the bank millions annually. An alumnus of IIT Roorkee and a CFA Charter Holder, he also holds a PGP certification in AI/ML for Business Applications from the McCombs School of Business, University of Texas at Austin.   Reference: FinTech: From Prediction to Trust — Building Transparent and Responsible Financial Intelligence FinTech operates in one of the most tightly regulated and risk-sensitive environments — accuracy, fairness, and compliance are non-negotiable. This session explores how the rise of AI is reshaping financial services, from risk management and fraud detection to customer engagement and financial inclusion. We’ll discuss what sets FinTech apart from other industries, the emerging AI-driven skills professionals now need, and whether AI is truly democratizing finance. Participants will gain insights into responsible AI implementation — covering prompt engineering, knowledge base design, maker-checker reviews, human-in-the-loop controls, and agent strategies that ensure accountability and transparency. The session concludes with a live demonstration of fraud detection using traditional ML and Generative AI, showcasing how intelligent systems and human oversight can work together to build trust in financial ecosystems