Naresh Goolla is a seasoned IT professional with over 20 years of industry experience, bringing a rare combination of technical depth and strategic leadership. He has spent a decade each as a Pega Technical Lead and an IBM Mainframe Solution Architect, designing and delivering enterprise-level solutions across sectors including finance, healthcare, and insurance. Naresh’s expertise spans business process automation, case management, system integrations, data reporting, and enterprise security, with a strong track record of modernizing legacy systems and implementing AI-driven functionalities to meet evolving business needs.
Throughout his career, Naresh has led high-impact projects for clients such as Truist Bank, AIG, and Express Scripts. At IMR Soft LLC, he has been instrumental in architecting advanced Pega-based workflows, integrating external systems via REST/SOAP APIs, and implementing real-time reporting and robust security measures. Notably, he played a critical role in the merger of BB&T and SunTrust banks by leading the redesign of customer and legal forms to ensure seamless compliance and enhanced user experience. His work has consistently improved operational efficiency, reduced processing times, and enhanced decision-making capabilities through automation and analytics.
Naresh began his career developing mainframe-based systems for organizations including HSBC, Citi, and American Express, where he honed his skills in COBOL, JCL, DB2, CICS, and other core technologies. His breadth of experience in both legacy and modern platforms allows him to bridge traditional infrastructure with contemporary digital transformation strategies. He is a certified Pega Senior System Architect, Pega Decisioning Consultant, and holds Microsoft certifications in Azure AI Engineering and Fundamentals. A graduate of Jawaharlal Nehru Technological University, Hyderabad, Naresh is recognized for his collaborative approach, problem-solving acumen, and commitment to delivering scalable, secure, and innovative technology solutions.