Keyne S Cleetus

eDOS (Ford)

• Developed and maintained a full-stack application for creating design orders across engines, transmissions, and BEVs.
• Optimized complex database queries and normalized tables to enhance performance and efficiency.
• Partnered with business analysts to refine requirements and ensure accurate feature delivery.
• Conducted peer code reviews to uphold coding standards and quality.
• Migrated key features from legacy systems to the modern platform, and strengthened application stability and security by resolving code smells, vulnerabilities, and hotspots identified through SonarCloud.

eZBudget (Ford)

• Developed and enhanced a full-stack application for budgeting engines and vehicle orders.
• Designed optimized database views to enable efficient data retrieval and normalized tables for improved structure and performance.
• Conducted peer code reviews to ensure consistency, maintainability, and adherence to best practices.
• Leveraged FordLLM AI tools to accelerate feature development, reducing rework and minimizing defects

RevaturePro

• A full stack application which is used for training freshers based on a curriculum with various tech stacks. Using Spring JPA and writing JPQL queries to execute Database operations.
• Identified code smells, vulnerabilities, and security hotspots using the sonar cloud and fixed them.
• Involving in POC activities like LTI integration, compiler API, Embedded editors like JDoodle, Sphere engine.
• Integrated third party applications such as Gitpod and GitHub to the systems.
• Implemented Read Replica for Production DB

Caliber

• A full stack application which is used for capturing the associates performance and scores.
• Using NgOnChanges, worked on the parent-child component structure in angular. Improved the code coverage using the Junit testing framework.
• Working on angular tasks like state management using NgRx, developing charts using Chart JS. Streamlined the CI pipeline to run the GitHub CI when GitHub PRs contain specific labels.
• Optimized the application by identifying the slow queries and reducing duplicate API calls