Responsibilities:- Developed a generative AI-powered system for creating test cases and scripts, utilizing Gradio, FastAPI, Python, and the Mistral/Mixtral model.- Architected and developed large-scale, distributed data streaming and storage solution for Application Monitoring System using Kafka, Storm and HBase.- Led capacity planning, performance testing, and optimization efforts for clusters, ensuring high performance, scalability, and reliability.- Implemented auto failover system which helped minimize downtime, improve system reliability, and reduce the risk of data loss.- Pioneered Change Based Regression as a method to detect and prevent regression faults caused by software changes, enhancing automation and testing efficiency, thereby reducing development time and ensuring bug-free integration.-Managed containerized applications on Kubernetes clusters, leveraging Helm charts and Kubernetes manifests to define deployments and configurations.- Deployed and managed containerized applications on Kubernetes clusters, using Helm charts and Kubernetes manifests to define application deployments and configurations.- Utilized Kubernetes monitoring tools and techniques, such as Prometheus and Grafana, to monitor cluster and application health, and implemented alerts for critical issues.- Collaborated with development, operations, and QA teams to establish best practices and ensure that CI/CD pipelines meet their requirements.- Conducted root cause analysis and troubleshooting activities, to identify and resolve complex performance and availability issues- Created interactive Tableau dashboards and reports to provide actionable insights to stakeholders, resulting in improved decision-making and data-driven strategies.