As a seasoned Technical Leader with over 16 years of experience, I have consistently delivered innovative and transformative solutions for financial institutions and diverse industries, including Banking, Insurance, Payments, Healthcare, and Retail. My expertise spans Site Reliability Engineering, Non-functional Engineering, Solution Architecting, JVM Tuning, Capacity Planning, Resilience, Observability, and Cloud Adaptation. I specialize in designing and implementing scalable, resilient, and highly available distributed systems using tools such as Datadog, Dynatrace, New Relic APM, and SQL, along with deep expertise in cloud-native architectures (AWS, GCP, Azure) and Kubernetes. In my role as a Senior SRE Architect, I focus on driving enterprise-wide reliability strategies by implementing self-healing and fault-tolerant infrastructures. Leveraging SLOs, SLIs, error budgets, and cutting-edge technologies like AIOps, chaos engineering, and predictive analytics, I ensure system performance and operational excellence. My passion lies in architecting next-generation reliability frameworks that prevent failures before they occur, aligning engineering efforts with business goals.

Additionally, I bring extensive experience managing high-performing teams, including mentoring senior engineers and fostering a culture of collaboration, learning, and proactive reliability. With over seven years of experience in backend engineering, primarily with Java and distributed systems, I have a deep understanding of asynchronous microservices and data consistency. My work with the Kafka ecosystem, including Apache Flink, has equipped me to design and scale complex systems that meet the needs of customer-first environments. As a strategic thought leader at the intersection of SRE, DevOps, and software engineering, I thrive in fast-paced environments, ensuring challenging projects are delivered with precision and impact. I am passionate about inspiring teams, advocating for innovation, and driving the future of scalable, reliable systems.