• Worked on the transformation of legacy .NET applications to Java-based microservices on GCP, improvingSSN data verification accuracy and processing speed using Spring Boot, GCP Dataflow, and Docker.• Implemented API Gateway with GCP API Gateway and Spring Cloud Gateway to route external clientrequests in a Java-based microservices architecture.• Created a React.js web-based interface, improving data submission speed by 30% and enhancing userinteraction with real-time SSN verification results.• Streamlined RESTful API development using Spring MVC and Java/J2EE, ensuring modularity and smoothclient-server communication.• Developed a Batch Processing Service using Spring Batch and GCP Dataflow, improving dataset processingspeed by 50% with parallel execution, and deployed in Docker containers.• Built a Reconciliation Service to ensure data accuracy between the legacy .NET system and the newJava-based system, with results stored in GCP Firestore for auditing.• Monitored and tracked key metrics using Google Cloud Operations and Prometheus, achieving 5000+ requestsper minute throughput, reducing average response times to <200ms, and maintaining error rates at <0.5%.• Developed custom APIs using Java Spring Boot and secured them with OAuth 2.0 for authentication andauthorization, ensuring PCI compliance.• Followed techniques and principles provided by test driven design (TDD) paradigm and SonarQube fordeveloping quality code.• Leveraged GCP functionalities such as GCS Bucket, Firestore, Dataflow, and GKE for cloud deployment,large-scale data processing, and system logging with Stackdriver.• Mentored junior developers and led code reviews, fostering a culture of continuous improvement and reducingproduction bugs by 25%

• Developed and maintained scalable GraphQL APIs for Mealo.org using Java, Go, and Rust, enabling smoothdata fetching and manipulation, improving API response times by 35%.• Designed and integrated secure RESTful and GraphQL APIs following Microsoft’s API security guidelines,and applied Azure API Management, reducing API response time by 20%.• Optimized MongoDB data modeling and indexing, reducing query response times by 35% and boosting overallsystem performance.• Enhanced mobile app navigation with React Native, Rust, and Node.js, increasing user engagement by 50%.• Transitioned notifications from FCM to Azure Notification Hubs, leveraging Rust and GraphQL for improvedmessaging reliability and system performance by 30%