• Designed and implemented a high-throughput transaction orchestration platform using Java 17, Spring Boot, Kafka, and Redis Streams, processing over 1 million payment events daily while ensuring end-to-end fault tolerance and low-latency execution.

• Integrated VectorDB with Pinecone for semantic indexing of internal knowledge and compliance data, enabling sub-second retrieval across 22+ million stored transaction and audit records, supporting fraud detection and audit workflows.

• Developed Generative AI microservices with Hugging Face Transformers and Prompt Engineering pipelines to generate transaction summaries, alerts, and risk insights for customer service agents, handling thousands of inference requests per minute.

• Built a real-time operational dashboard using React 18, TypeScript, WebSockets, and TailwindCSS, tracking system health, transaction throughput, and AI inference metrics for platform and support teams, improving monitoring efficiency by 3x.

• Implemented CI/CD workflows and automated quality gates with GitHub Actions, Maven, SonarQube, and ArgoCD, supporting safe deployment across dev, QA, and production, reducing rollback incidents by 3x.

• Engineered event-driven payment retry and reconciliation pipelines with AWS Lambda, Step Functions, and DynamoDB Streams, ensuring reliable processing of over 500,000 delayed or failed transactions monthly.

• Applied infrastructure-as-code using Terraform and Helm charts to provision and maintain cloud-native services on AWS, reducing manual configuration errors and improving deployment consistency for multiple clusters.

• Constructed high-throughput event-driven pipelines with Kafka, Spring Cloud Stream, and async processing patterns to handle up to 18K events per hour, improving system reliability and downstream service consumption.

• Optimized relational and in-memory database performance with PostgreSQL, Hibernate, Redis caching, and indexing strategies, processing millions of medication records efficiently with low-latency API responses.

• Applied comprehensive unit, integration, and API testing frameworks using JUnit, Mockito, and TestContainers, enhancing code quality, maintainability, and regression safety across microservices.

• Programmed advanced monitoring dashboards, automated infrastructure scripts, CI/CD pipelines, and Terraform modules, enabling Infrastructure-as-Code, system health tracking, and faster production deployment.

• Established application and infrastructure security best practices, including role-based access control (RBAC), JWT-based authentication, SSL/TLS encryption, and secure API design, reducing vulnerabilities across microservices.

• Constructed high-throughput event-driven pipelines with Kafka, Spring Cloud Stream, and async processing patterns to handle up to 18K events per hour, improving system reliability and downstream service consumption.

• Optimized relational and in-memory database performance with PostgreSQL, Hibernate, Redis caching, and indexing strategies, processing millions of medication records efficiently with low-latency API responses.

• Applied comprehensive unit, integration, and API testing frameworks using JUnit, Mockito, and TestContainers, enhancing code quality, maintainability, and regression safety across microservices.

• Programmed advanced monitoring dashboards, automated infrastructure scripts, CI/CD pipelines, and Terraform modules, enabling Infrastructure-as-Code, system health tracking, and faster production deployment.

• Established application and infrastructure security best practices, including role-based access control (RBAC), JWT-based authentication, SSL/TLS encryption, and secure API design, reducing vulnerabilities across microservices.