Xudong Chen Email and Phone Number

• Implemented a scalable vaccine booking system utilizing Java, Spring Boot, and microservices architecture.• Developed RESTful APIs to facilitate data exchange, leveraged Kafka as message queue for decoupling services and asynchronous communication, reducing overall response time by 20%. • Integrated Hibernate with MySQL, using Redis for caching, reducing data retrieval time and ensuring seamless data access and operation.• Implemented Sleuth and Zipkin for code tracing, and ELK for centralized logging, enhancing system monitoring capabilities and providing distributed tracing and analysis.• Led the migration of the application into Docker containers, resulting in a 70% reduction in deployment time.• Utilized Kubernetes for cluster deployment, leveraging automatic container management and scaling, ensuring seamless scalability and robust infrastructure.

• Designed and implemented an AWS SNS message-driven system from scratch to deployment, resolving payment token missing issues and reducing customer waiting time per ticket from 4 hours to 5 minutes.• Created AWS Lambda in Java to handle SQS events, and implemented new APIs to update payment token info.• Optimized system performance by creating token exclusion list with DynamoDB, reducing repetitive queries and achieving a 20% improvement in query efficiency.• Set up AWS infrastructure with Cloud Development Kit(CDK) in Typescript for faster deployment to Pipeline.• Utilized AWS CloudWatch to monitor system, resolved 500 tickets within one week of deployment to AWS EC2.

• Developed RESTful APIs for E-commerce app backend services using ASP.NET Core, and React for front-end interfaces with JavaScript.• Implemented microservices architecture with ASP.NET Core and Azure Spring Cloud, integrating SQL Server for data storage, Entity Framework Core for data access and ORM. • Utilized ASP.NET Identity for user authentication and authorization, along with OAuth2 for security.• Improved sales strategy by utilizing Elasticsearch and Kibana to analyze product searches and popular items.