Ms. Sukruthi Reddy Sangannanagari

Modernizing Hazardous Equipment Certification with Cloud-Native Automation for Streamlined Compliance and Global Growth

Abstract:

An AI-driven recommender system is designed for roofing management, transforming decision-making processes. It uses real-time sensor data, imagery, and machine learning algorithms to deliver accurate assessments, predictive maintenance, and cost-optimized repair recommendations, thereby enhancing asset longevity and reducing operational costs.

Profile:

I am an experienced software testing professional with expertise in manual, automation, and performance testing across client-server and web-based applications. Skilled in various technologies, including J2EE, Python, JavaScript, AngularJS, Selenium WebDriver, Oracle, MongoDB, and Cassandra. Proficient in designing scalable test automation frameworks, implementing advanced testing methodologies, and leveraging tools like Maven, Quality Center, JIRA, and GitHub for efficient test management.