Engineered a robust transaction processing system leveraging AWS serverless architecture to handle high-volume payment data. The system processes thousands of transactions per second while maintaining data consistency and real-time availability.

Developed an intelligent spending analysis system using AWS Bedrock that provides personalized financial insights and promotes credit awareness. The system analyzes transaction patterns and statement data to help users make informed financial decisions.

Engineered a sophisticated pre-authorized debit and credit processing system leveraging AWS Batch and RabbitMQ. The system proactively alerts users about potential insufficient funds before processing scheduled payments, reducing failed transactions and improving user experience.

Implemented a robust microservices architecture utilizing the sidecar pattern with Envoy proxy, enabling sophisticated service-to-service communication, traffic management, and observability across the entire system.

Developed a robust data pipeline integrating legacy IBM MQ with modern cloud analytics using Confluent Kafka and Apache NiFi. The system transforms and standardizes messages for fraud investigation and analytics in Google Cloud Spanner.