Software Engineer
CHUBB India
June 2024 - Present
Architected and shipped scalable .NET Core microservices processing 5,000+ insurance claims per hour, improving system throughput and fault tolerance across distributed services.
- Slashed API latency by 45% and supported 5,000+ concurrent requests/hour by architecting low-latency .NET Core microservices through async I/O tuning and database access pattern refinements.
- Decreased database load by 60% and accelerated static data retrieval by 3x by implementing a multi-layer distributed caching strategy utilizing Redis and in-memory optimizations.
- Achieved 99.8% reliability for multi-region claim processing workflows by engineering fault-tolerant, event-driven Kafka pipelines featuring idempotent consumers and DLQ routing.
- Reduced incident detection and resolution time by 70% by deploying comprehensive Azure Application Insights observability infrastructure and developing a dynamic middleware FileNoteAPI for enterprise claim-processing.