Chiranjit Singh

Built integration APIs connecting classification and interpretation systems for a leading Canadian insurance client, currently operating in Malaysia and planned for rollout across 30+ international markets.

Provided technical solutions for a low-code/no-code platform supporting data integration, AI-based OCR, chatbot automation, dashboards, and dynamic forms for two major Dubai-based insurance clients.

Optimized data storage by transitioning from JSON-based persistence to compressed byte serialization, reducing payload size and maintaining seamless JSON compatibility.

Integrated policy deletion logic with in the current system using Azure Service Bus to listen to policy numbers, ensuring accurate data removal, seamless API communication, and robust error handling through retries and exception management.

Developed APIs for internal applications, including data retrieval for dashboards and full CRUD support for LOINC code integration, enhancing configurability and data handling.

Improved application security by resolving vulnerabilities identified via external VAPT assessments and proactively addressing issues using SonarQube and Snyk.

Implemented asynchronous logging with dynamic log level control, boosting system performance and operational flexibility.

Enhanced performance by refactoring legacy integrations to directly interact with Azure Blob Storage, reducing latency and simplifying data flows.

Created data integration interfaces to connect with multiple client APIs and provided primary production support for a Hong Kong-based insurance client, ensuring high availability and reliability.

Delivered 15+ change requests across 8 major releases, managing enhancements and resolving critical issues in a timely, efficient manner.

Upgraded 26 Java projects from Java 8 to Java 11, enhancing performance, maintainability, and compliance with modern standards.

Built an automated API testing tool currently used to validate over 700 test cases, significantly improving test coverage and deployment confidence.

Implemented a web scraper to extract insurance document-related data, enabling automated data collection and processing.

Migrated an OCR project from Java (Spring) to Python (FastAPI), resulting in improved performance, modularity, and reduced maintenance overhead.

Assisted in the development of a dynamic product configurator and contributed to developing and a custom rule engine for a Southeast Asia-based insurance client, focusing on backend logic, rule processing, and system integration.