Srikanth Kavuri is a Software Reliability Engineer and AI researcher specializing in predictive quality engineering and large-scale enterprise systems. With experience in healthcare IT and cloud-based platforms, he focuses on applying explainable machine learning to identify software defects, improve system reliability, and enhance data integrity in mission-critical environments.

He has contributed to enterprise systems supporting public sector programs and has presented on topics such as AI-driven quality engineering, data pipeline validation, and performance optimization. His work bridges the gap between traditional software testing and modern AI-enabled engineering practices, helping organizations build more resilient and trustworthy systems.