I am a senior AI and Data Science leader with over 18 years of experience shaping enterprise-scale AI, data, and real-time streaming solutions. My work sits at the intersection of AI innovation, governance, and financial technology, where I design systems that are scalable, compliant, and future-ready. Across my career, I have combined deep technical expertise with strategic leadership to deliver impact: architecting advanced and complex machine learning systems, streaming platforms with Apache Kafka, embedding AI governance frameworks into enterprise workflows, and leading data-driven transformations in highly regulated industries. Key contributions include: 1. Authoring four books on LLMOps for Finance, Observability in Finance, Real-Time Streaming with Kafka, and Practical Machine Learning with R, reflecting both technical mastery and industry foresight. 2. Holding a Doctor of Engineering (AI) from SMU and an M.Tech (Knowledge Engineering) from NUS, awarded the SPH Gold Medal and Book Prize. 3. Experience in AI governance, risk, and compliance frameworks that align with MAS FEAT, PDPA, and the EU AI Act. 4. Recognized as a Top Women in Tech Leader in Asia (2025) for advancing Gen AI adoption. I engage effectively with both C-suites and engineering teams, translating complex AI systems into measurable business outcomes. With a strong focus on AI governance, sustainable innovation, and digital assets, I am committed to shaping the future of responsible and trustworthy AI in banking and beyond. Books: LLMOps for Finance Practical Machine Learning with R Real-Time Streaming with Apache Kafka, Spark, and Storm Observability in Finance