Domain: Automotive(FORD) | Project: GVMS (Global Vehicle Management System)
- Currently working on migration of applications from Pivotal Cloud Foundry (PCF) to Google Cloud Platform (GCP) to improve scalability, cost-efficiency, and performance.
- Serving as a Full Stack Developer, building and maintaining applications using Java 19 (Spring Boot) for backend and Angular 17 for frontend.
- Designed and developed REST APIs and integrated with microservices for vehicle management modules.
- Implemented CI/CD pipelines using Tekton and Jenkins, with code quality checks via SonarQube.
- Monitored application performance and logs using Splunk and Dynatrace, ensuring system reliability and quick issue resolution.
- Worked on multi-database integration with MongoDB (NoSQL) and PostgreSQL (RDBMS), optimizing queries and improving system performance.
- Collaborated with global teams to align business requirements with technical implementation, ensuring timely delivery.
- Leveraged Ford’s Large Language Model (LLM) and GitHub Copilot AI platform to accelerate coding productivity, improve code quality, and reduce development effort.
Tech Stack: Java 19, Spring Boot, Angular 17, GCP, Tekton, Jenkins, SonarQube, Splunk, Dynatrace, MongoDB, PostgreSQL