GenPayAI: Securing Modern Payment Gateways with Generative AI and Retrieval-Augmented Intelligence

Solution-focused Software Engineer with extensive experience in leading and managing complex projects and initiatives across various domains. Proven track record of spearheading initiatives, such as the modernization of legacy systems, integration of innovative technologies, and implementation of strategic solutions to enhance operational efficiency and drive business growth. Specialized in large-scale system architecture and data management. Adept at fostering collaboration and driving continuous improvement through introduction of tailored strategies and initiatives, such as weekly operational excellence meetings and centralized benefits hubs. Known for optimizing performance, scalability, and reliability of complex systems through strategic problem-solving, CI/CD pipelines, and automated testing. Proficient in blockchain technology, cloud platforms, and data-driven applications, driving technological advancement and operational excellence. Strong leadership skills and hands-on coding expertise. Collaborative approach in decision-making with product owners and stakeholders. Reference: This talk will explore how Generative AI and retrieval-augmented techniques can strengthen modern payment gateway systems by improving security, operational intelligence, and decision support. It will discuss practical approaches for applying AI to areas such as transaction monitoring, fraud detection support, anomaly investigation, and secure knowledge retrieval in payment environments. The session will also highlight architectural considerations, governance needs, and the importance of building AI-enabled payment systems that are scalable, reliable, and audit-ready.