Led the development of an insurance sales platform and designed a scalable microservices architecture, focusing on Java, Spring Boot, Alibaba Cloud, Kafka, Redis, and PostgreSQL. The system facilitates convenient online insurance purchases and handles millions of transactions annually.Developed and delivered services for querying insurance policies. Reduced cache memory usage by 70% through compression and created a cache pre-warming program to lower database load and improve cache hit rates. Achieved 5,000 QPS during stress testing, ultimately enhancing user experience.Collaborated with front-end developers and stakeholders on the insurance promotion and marketing web app, developing RESTful APIs for registration, login, score calculation, and ranking lists. The app supported over 700,000 active users.Led the end-to-end development of insurance claim systems, including requirements discussion and analysis, time estimation, workload balancing, design, development, testing, configuring metrics and logging, CI/CD setup, and monitoring. The system improved the efficiency of the insurance claims department by automating the claims settlement process.Developed an API Gateway system with Apache Shenyu, Spring WebFlux, and React. Created dashboards and developed plugins for API signing and encryption. Achieved unified authentication and authorization through customized extensions. Resolved exceptional cloud resource usage by examining metrics for servers, databases, Redis, message queues, and storage services. Used command tools such as top, ps, jstat, and jstack to analyze service instances, identify issues, and implement fixes, ultimately reducing CPU usage by 90%.

Led the design and development of an advertising management platform with a microservices architecture, using Java, Spring Boot, Redis, MySQL, Kafka, and MongoDB. Configured the DevOps platform, Kubernetes cluster, and Alibaba Cloud services for deployment. This platform accelerated the launch of insurance purchasing pages on Alipay and Douyin (Chinese version of TikTok), increasing online promotion efficiency by 80%.Architected BPM microservices and developed RESTful APIs to automate key insurance processes, including underwriting, claims settlement, endorsement, and policy maintenance. Led cross-functional meetings to align business workflows and refine technical design. The system handled tens of millions of transactions.Optimized the performance of over 30 SQL statements through query execution plan analysis, reducing execution time by at least 50%.Developed a JNI library for encrypting sensitive data using Java, C++, and JNI, quickly mastering the necessary skills despite limited prior experience. Compiled, tested, and integrated the library across multiple operating systems into over 200 microservices.

Developed and delivered key functions for the Push-to-Talk project. Implemented high-availability features for PostgreSQL databases using Veritas Cluster Server, enabling automatic failover and both synchronous and asynchronous data replication, which significantly enhanced system reliability and availability.Automated unit test cases for the CDN project using Nginx, Lua, JUnit, and Mockito. Diagnosed and fixed failing test cases and static code analysis issues, ensuring high product quality and stability.

Worked as an intern and later as a full-time employee.Designed and implemented a hot update feature for the online shopping system using a custom Java Class Loader, allowing updates without requiring a reboot and increasing deployment speed by 80%.Developed RESTful APIs for the online shopping system using Spring Boot. Managed and deployed the API servers by configuring Jenkins and writing CI/CD scripts, completing over 10 iterations.Performed stress testing for the online shopping system, wrote Bash scripts to automate the testing process, and utilized tools such as Linux iostat, netstat, and JVM jstat to monitor system status.