• Built and optimized backend microservices for high-throughput payment systems handling large transaction volumes

• Reduced P95 API latency by 40% by eliminating synchronous bottlenecks using event-driven architecture

• Designed Kafka-based pipelines with partitioning and consumer groups, improving throughput by 80% during peak traffic

• Implemented idempotency, retry mechanisms, and DLQs to ensure reliable distributed transaction processing

• Deployed containerized services on AWS using Docker and Kubernetes for high-concurrency environments

• Automated CI/CD pipelines using GitHub Actions and Jenkins, improving release reliability

• Developed observability dashboards using Splunk, reducing incident response time significantly

• Contributed to system design discussions for scalable and fault-tolerant payment workflows

• Built backend services for SaaS applications supporting thousands of concurrent users

• Reduced server load by 30% by optimizing REST APIs and microservices architecture

• Improved database performance by 25% through PostgreSQL and MySQL query optimization

• Introduced Kafka-based asynchronous communication to improve scalability and decouple services

• Developed 300+ automated API test cases, reducing production defects by 40%

• Identified and resolved performance bottlenecks in high-traffic APIs