Prabhakaran Rajan

Built and enhanced investment/registered-plan loan workflow applications using Angular, TypeScript, Express.js, Node.js, and MongoDB, delivering full-stack features, RESTful APIs, and secure backend services. Integrated UI with backend and partner services (identity, document capture, notifications) via REST APIs (JSON) and implemented robust error handling and retries. Developed Micro Frontend-based workflow applications using React, Angular, TypeScript, Express.js, Node.js, MongoDB, RabbitMQ, and DataDog for improved turnaround time and traceability. Implemented security and privacy controls for sensitive client data using JWT, RBAC, secure API validation, and audit logging. Improved release quality and deployment efficiency by adding Cypress automation, GitHub Actions CI/CD, Azure App Services deployments, and proactive production monitoring via Application Insights.

Led a module team of 5 developers to deliver Dell’s retail management dashboards using Angular and Node.js, improving retail data visibility and accuracy across 50+ stores. Automated real-time reporting workflows with MongoDB and Chart.js, reducing manual data preparation by 40%. Designed and optimized .NET Core services with PostgreSQL for high-volume transactions, reducing query latency by 20%. Implemented asynchronous, event-driven Node.js services behind Angular front-ends to deliver real-time updates and seamless RESTful data flows across high-traffic enterprise applications.

Led a module team of 5 developers to design and deliver retail management dashboards using Angular, React, and Node.js, improving retail data visibility and accuracy across 50+ stores. Developed cross-platform mobile applications using React Native with REST API integration, achieving consistent response times under 200 ms across Android and iOS. Implemented Cypress + Jasmine automated testing in Azure DevOps CI/CD, improving release reliability and reducing manual QA effort by 35%. Built and optimized RESTful APIs and backend services using .NET Core and PostgreSQL to support scalable HR management applications.