- Optimized database queries and data processing algorithms, reducing system response time, which improved user experience.- Reduced program errors by 40% during the development phase by creating a system for developing quality standards based on post-mortem analysis and RCA.- Implemented a "Private Build" practice that accelerated the project build process by a factor of 10, reducing time to market (TTM) and improving code quality.- Implemented architectural standards and standards compliance checking mechanism using ArchUnit, improving code readability and support, making it easier to integrate new features.- Implemented a data caching mechanism using Redis, reducing server load.

- Optimized the CI/CD Pipeline, reducing application deployment time by 50%, which accelerated delivery of new versions and improved workflow.- Implemented an audit mechanism, thereby strengthening system security in compliance with regulatory rules.- Reduced average disaster recovery time by 70% by implementing a processing and recovery system, thereby improving system fault tolerance- Improved performance by implementing a monitoring system using Prometheus and Grafana and conducting comprehensive load tests.- Designed and successfully implemented a project to migrate an existing distributed monolithic application running on WildFly to a Kubernetes-based microservice architecture. This provided better scalability and simplified continuous deployment processes.