Raghavendra Yelisetty is a highly experienced software engineer with over two decades of hands-on work in software development, cloud computing, and data systems. He holds a degree in Computer Science and Engineering and a postgraduate diploma in Artificial Intelligence and Machine Learning from the University of Texas at Austin.Throughout his career, Raghavendra has focused on building reliable, large-scale backend systems and secure digital platforms. He has led major projects in telecom and infrastructure, including patented solutions for data roaming billing, secure device communication, and accessible voicemail systems.His technical strengths include Java, Spring Boot, REST APIs, Docker, Cloud Foundry, AWS, and AI/ML. He’s known for designing systems that are fast, scalable, and secure—often using microservices, cloud-native tools, and automation to improve performance and reliability.Raghavendra’s research has been featured in leading international journals and presented at prominent conferences such as IEEE AIC2024, Springer CSCT2024. His academic work spans key areas including cybersecurity, memory-efficient graph algorithms, CPU performance tuning, and conflict resolution in network systems. These contributions not only enhance the stability and efficiency of modern computing systems but also play a vital role in advancing innovation in large-scale software development.In addition to his technical achievements, Mr. Raghavendra Yelisetty is a certified AWS Solutions Architect and an active peer reviewer for cutting-edge research in AI, blockchain, and telecommunications. His commitment to mentoring and innovation continues to inspire the next generation of engineers and researchers.