Madhu G.

• Lead end-to-end development of distributed backend services supporting Azure Intelligent Services, designing scalable microservices in C#/.NET and Python that power enterprise-grade, multi-tenant cloud applications deployed across globally distributed Azure regions. • Architect and maintain low-latency RESTful APIs integrated with Azure Kubernetes Service (AKS), Cosmos DB, Azure SQL, and Azure Storage, ensuring high availability, fault tolerance, and secure data exchange across mission-critical workloads. • Design event-driven architectures leveraging Azure Service Bus, Event Grid, and Azure Functions to orchestrate asynchronous processing pipelines, improving system resiliency and decoupling cross-service dependencies.

• Contributed to the design and development of high-scale backend services supporting Netflix’s global streaming ecosystem, building distributed microservices in Java and Python to manage playback orchestration, entitlement validation, and session lifecycle management across millions of concurrent users. • Engineered low-latency APIs responsible for stream authorization, device authentication, subscription validation, and content metadata retrieval, ensuring seamless playback initiation across diverse device platforms and network conditions. • Partnered with Content Delivery Network (CDN) and infrastructure teams to reduce playback startup time and buffering ratios through backend request optimization, intelligent routing strategies, and improved servicetoedge communication patterns.