Designed and implemented a system from scratch to manage policy data, integrating APIs and methods. The system actively listens for policy numbers from Azure Service Bus, fetches related data, deletes records, and sends a summary of deletions to the client API. It includes retry mechanisms for failed operations and manages exceptions during data deletion. Created APIs for data retrieval and dashboard display in an internal configurator application, and implemented CRUD APIs for integrating and managing LOINC codes, enhancing data handling and integration.Designed and integrated asynchronous logging mechanisms with dynamic real-time logger level adjustments to enhance system performance and flexibility.Improved system efficiency by refactoring code to directly call the Azure Blob API, eliminating legacy intermediate system calls and enhancing performance.Created interfaces for data integration from multiple client APIs, ensuring seamless data exchange, and provided primary support for a Hong Kong-based insurance client, addressing production issues and maintaining system reliability.Delivered 10+ change requests across 6 major releases, managing feature enhancements and resolving critical bugs efficiently.

Upgraded over 26 projects from Java 8 to Java 11, updating dependencies and refactoring code for compatibility and minor performance improvements.Created an automated testing tool from scratch currently used internally company wide for multiple clients to execute over 700+ test cases per release, significantly improving testing efficiency and coverage.Created dynamic JSP-based web pages for OpenAPI specification projects.Implemented web scraping functions in Python to extract insurance document-related data from provided links, handling dynamic content and data processing efficiently.Migrated an OCR project from Spring Boot (Java) to FastAPI (Python), focusing on basic refactoring with some improvements to enhance performance and maintainability.

Assisted in implementing "Product Configurator" for a Southeast Asia-based insurance client, optimizing product configurations, and contributed to developing a Rule Engine for automating calculations and business processes, enhancing operational efficiency.Designed and executed performance testing strategies using Apache JMeter to simulate high traffic and ensure system stability under peak conditions. Analyzed test results to identify bottlenecks and collaborated with the team to optimize server response times, successfully improving them from 900ms to 300ms.