Introduction
Srinivasa Rao brings over 20 years of expertise in AI, Machine Learning (ML), Quality Assurance (QA), and Performance Engineering. He excels at building scalable systems, driving automation, and leading high-performing teams. His innovations include developing AI-driven testing tools that enhance accuracy and scalability, creating automation frameworks that reduce testing efforts by up to 70%, and optimizing performance to achieve 99.99% system availability.
Srinivasa has led teams managing systems with over 25 billion profiles and handling 100,000+ requests per second. He has mentored over 10,000 professionals, improving productivity by up to 5x. His leadership in fostering collaboration, defining strategic goals, and implementing ISTQB-compliant QA practices has consistently delivered exceptional results in Agile, Iterative, and Waterfall environments.
Recognized as an expert in cloud platforms (AWS, Azure, GCP), CI/CD pipelines, and AI/ML frameworks, Srinivasa has partnered with cross-functional teams to optimize automation and performance strategies. Beyond his technical expertise, he champions diversity in STEM by training underrepresented groups and publishing educational resources to scale QA capabilities globally.
