User Profile

Naga Ramesh Palakurti is a seasoned Solution Architect/Research/Manage and AI/ML expert with over 24 years of experience specializing in Business Rules Management Systems (BRMS), risk management, fraud detection, and financial AI solutions across finance, banking, insurance, and retail sectors. Currently at TCS, he leads AI/ML integrations with IBM ODM for risk assessment and compliance automation. His expertise spans IBM ODM, ILog JRules, TensorFlow, Java, Python, Spring Boot, AWS, Azure, Docker, Kubernetes, and big data frameworks like Hadoop and Spark. He has 20 journal publications, 10 completed book chapters (IGI Global, Elsevier, Springer, Tyler Francies) and 3 conference papers (IEEE, Springer), alongside editorial roles in Plos One, IJAIML, IJIT, and IJCSITR. A judge for Brandon Hall Group, Globee, and Business Intelligence Group, he has also completed 100+ peer reviews. Recognized with Global Awards, Titan Awards, GLAwards, and Globee, he holds professional memberships in IEEE Senior, ACM, PMI, SigMaxi, IAENG, and IETE. His certifications include PMP, AWS Solutions Architect, IBM Python for Data Science, Deep Learning with TensorFlow, and IBM WebSphere Administration. Academically, he holds an MCA from Somalia University (1999) and a Post Graduate Program in AI/ML from Purdue University (2024). He has a patent in progress, "SARA-MLMDM: Secured Agile Retrospective Analysis Using Machine Learning and Master Data Management." His work experience includes roles at JPMC, Deloitte, Vanguard, Franklin Templeton Technologies, and Innova Solutions, where he has led AI-driven risk management, cloud-native architecture, and business rule automation initiatives. A technology leader with deep expertise in AI-powered risk control, strategic BRMS implementations, and scalable cloud solutions, he continues to shape cutting-edge financial technology and AI-driven decision-making systems.