Enterprise Technology & AI Program Leader
Driving AI-led transformation across financial services and regulated industries — bridging strategy, architecture, and execution to deliver cloud-native, explainable, governance-first platforms.
Led global AI and digital transformation programs across financial services and healthcare, delivering platforms supporting 6,500+ users and multi-million dollar initiatives.
Building next-generation Generative AI-powered platforms aligned with regulatory, audit, and risk frameworks. Focused on intelligent automation and transforming insurance and financial services through scalable, governance-first AI architectures.
Directed global technology rollouts across 36 countries, aligning engineering execution with complex business strategies, to support mission critical platforms serving thousands of users in highly regulated environments.
Designed Generative AI-driven workflow automation, predictive models, LLM-powered advisory systems, and analytics pipelines enabling decision intelligence and operational efficiency.
Architected AWS & Azure cloud-native platforms aligned with HIPAA, PCI-DSS, GDPR and enterprise risk frameworks — ensuring secure, compliant and scalable system design.
Bridging the gap between engineering execution and business strategy for global financial services and regulated industries while advancing thought leadership in AI governance.
Founded an AI-first fintech research and innovation initiative focused on building financial intelligence systems and responsible enterprise AI prototypes for regulated industries.
Developing AI-driven prototypes for insurance workflows including intelligent risk assessment, regulatory document parsing, underwriting support and scenario-based modeling.
Building LLM-powered assistants that convert complex regulatory and compliance documentation into structured, decision-ready insights.
Designing NPV-optimized and scenario-driven financial modeling frameworks for structured and insurance-linked products.
Exploring enterprise AI governance patterns, model risk awareness, auditability and compliance-aligned experimentation frameworks.
Actively building AI-driven prototypes for regulated industries and open to strategic investment, funding, and partnership discussions — with an initial focus on insurance innovation.