Leading optimization of system performance and scalability to handle dynamic workloads and ensure robust infrastructure. Develop AI-driven automation frameworks for proactive monitoring, anomaly detection, and intelligent alerting.

Build resilience thru Chaos Engineering, advocate and coach teams on chaos engineering practices to build resilient, failure-tolerant systems. Blend engineering and operational practices to enhance customer reliability engineering, monitor availability, and address customer needs effectively.

Led the implementation of Observability for SAP SuccessFactors, leveraging a cutting-edge technology stack and collaborating with various cloud-native vendors to innovate and customize observability agents tailored to SAP JVM requirements. Designed and deployed an observability framework driven by OpenTelemetry standards, integrating ElasticSearch APM, Zabbix, SAP JVM tuning, and OpenTelemetry agent solutions for both remote and local setups.

Developed microservices-focused observability dashboards aligned with SRE golden signals to enhance monitoring and performance visibility. Conducted JVM tuning and applied machine learning/analytics to observability data to predict potential failures and enable automated remediation, significantly reducing Mean Time to Recovery (MTTR).

Led the large-scale migration of applications and legacy systems to a cloud-native architecture, driving modernization and scalability. Designed and implemented microservices architectures to support business growth, with a focus on scaling entitlements solutions for clients, including Cisco. Conducted comprehensive capacity planning and performance engineering for distributed applications, ensuring optimal performance and reliability.

Conceptualized and developed the architecture and design for a large scale migration of application and legacy modernization. Performed capacity planning and performance engineering for distributed application.