Peda Venkata Rao Pagidipalli is a seasoned Technical Systems Engineer recognized for advancing enterprise automation, intelligent workload orchestration, and AI-driven operational innovation. With a career spanning major global technology organizations, he has played a pivotal role in modernizing complex IT ecosystems, elevating operational reliability, and enabling high-impact business transformation across supply chain, finance, commerce, data platforms, and customer operations.
At Cisco Systems, he has been instrumental in architecting next-generation workload automation frameworks that unify traditional enterprise systems with emerging AI capabilities. His work integrates multi-agent models, natural language processing, and cloud-based AI services into production-grade environments, resulting in faster diagnostics, predictive insights, and streamlined scheduling operations. He develops scalable microservices using modern programming frameworks and containerized architectures, supporting a broad range of interconnected workflows. His contributions extend to building real-time analytics tools, finance-focused modules, and executive dashboards, empowering teams with timely, actionable intelligence. He also ensures robust security, multi-source data integration, and compliance through meticulous design and implementation of authentication, encryption, and CI/CD processes.
Previously at Capgemini, Wipro, and Tech Mahindra, he led global teams in enterprise scheduling, batch automation, cloud migration, and Oracle-based solution delivery. His leadership has supported mission-critical systems for large-scale operations, enabling dependable job orchestration across hybrid environments. He has extensive experience with Oracle application modules, configuration management, PL/SQL development, and cross-functional solution design. His work has spanned requirement analysis, system enhancements, cloud platform evaluations, release cycles, defect analysis, and environment optimization. He has consistently partnered with business stakeholders, infrastructure teams, and third-party vendors to drive operational excellence and deliver stable, secure, and scalable enterprise solutions.
He began his career in software development, contributing to database-oriented applications, administrative toolkits, project management systems, and testing frameworks. This foundation strengthened his expertise in programming, data structures, and application integration, forming the basis for his later leadership roles.
Across all roles, he is known for his ability to unify legacy systems with leading-edge automation, guide engineering teams, and introduce innovative approaches that elevate enterprise performance. His certifications in generative AI, cloud platforms, Oracle systems, and Agile methodologies reflect his commitment to continuous learning and technical excellence.