

Narendra Chennupati
JNTU Hyderabad | India
Frisco, Texas, United States
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Narendra Chennupati is a highly skilled Senior System Architect with over a decade of experience specializing in Enterprise System Architecture, with a strong focus on AI-driven workflow optimization and Robotic Process Automation (RPA). Throughout his career, he has designed and deployed scalable automated solutions across various sectors, including banking, insurance, and healthcare. His work has significantly contributed to the digital transformation of organizations, streamlining processes, enhancing customer engagement, and optimizing operations using advanced technologies like Pega and artificial intelligence.
Narendra's career highlights include his role at Hindsight Software Solutions Inc, where he worked on major projects such as InterAct and Fuse for Elevance Health. For InterAct, he developed a sophisticated work and demand management system, which centralized and streamlined the tracking of claims-related issues. This project replaced multiple legacy tools and improved efficiency, resource allocation, and decision-making through predictive analytics. Similarly, for Fuse, Narendra built an inventory management system that consolidated various internal and external systems into a single platform, enabling the efficient processing of inventory and tracking key performance metrics, which contributed to cost savings and enhanced user experience.
Earlier, while at Trilogy International Inc, Narendra played a key role in the Fraud Resolution Application project for Truist Financial. He integrated the existing system with Pega's Smart Dispute Framework to improve fraud detection and resolution processes. At Tata Consultancy Service, he was instrumental in the development of a unified data platform for Bank of America through the One Source Data Platform (CDPP) project. His contributions in designing Business Intelligence Exchange (BIX) for the platform enabled better decision-making and improved data integration across systems.
Additionally, Narendra worked on the CATHIE project at Zensar Technologies for the Automobile Association, where he helped replace an outdated quote and policy creation system with a modern Pega-based application, significantly improving process efficiency. His expertise also extended to projects for American Express, such as the Corporate Wide Compliance & Risk Management (CWCRM) initiative, where he developed critical workflows and integrated systems to support compliance and risk mitigation strategies.
Narendra began his career at Syntel Inc, where he worked on the Corporate Wide Compliance & Risk Management (CWCRM) project for American Express. He played a crucial role in creating workflows and implementing core business logic for the Compliance and Ethics Risk Assessment System (CERAS), supporting the company's risk management processes. He also worked on the iCRUSE project, integrating the Global Decision Engine (GDE) for more efficient scoring and error handling, improving overall system scalability.
Throughout his career, Narendra has been recognized for his expertise in Pega PRPC, AI-based solutions, and RPA technologies, which he applies to enhance business functions, optimize resource utilization, and deliver significant cost savings. He has continuously improved workflows, implemented intelligent system integrations, and driven innovations across the projects he has managed.
Narendra holds a Master of Technology (M.Tech) in Computer Science and Engineering from JNTU Hyderabad, India, and a Bachelor of Technology (B.Tech) in Information Technology from the same institution. He is also a certified expert, holding certifications as a Pega Certified Senior System Architect (PCSSA V7.2), Pega Certified Decisioning Consultant (PCDC V8), and Pega Certified System Architect (PCSA 7.1).
With his diverse expertise and passion for delivering innovative, scalable solutions, Narendra continues to make significant strides in the field of enterprise architecture, particularly in the areas of AI-driven process optimization and workflow automation.
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