Selected backend and cloud projects.

Designed and implemented a microservices-based order processing platform handling thousands of daily transactions. The system uses event-driven communication and resilient messaging to handle spikes and failures.

• Exposed REST APIs for order management, payment, and notifications with proper validation and error handling.
• Used Kafka topics and consumer groups for scalable, decoupled event processing.
• Deployed services to AWS ECS with autoscaling, health checks, and centralized logging.

Built a serverless notification service that sends email and SMS alerts based on application events. Designed for low operational overhead and pay-per-use cost efficiency.

• Exposed REST endpoints via API Gateway backed by Java Lambdas.
• Persisted notification templates and delivery state in DynamoDB.
• Used SQS queues and dead-letter queues for reliable, retryable processing.

Standardized metrics, logging, and tracing across services to improve visibility and reduce incident resolution time.

• Instrumented services with metrics for latency, throughput, errors, and key business events.
• Integrated with Prometheus/Grafana dashboards and alerts; added CloudWatch logs and alarms.
• Documented patterns so new services automatically inherited the observability stack.

Implemented CI/CD pipelines to build, test, and deploy Java microservices to AWS in a repeatable, automated way.

• Packaged services as Docker images and pushed to a container registry.
• Automated unit, integration, and security scans as part of the pipeline.
• Used blue-green or rolling deployments with health checks and canary releases.