• Led a team of 3 to build a distributed monitoring tool that continuously validates service health across
Exadata hosts, reducing detention time for failures and improving operational reliability
• Restored reliability for large-scale workflows(>1000 steps) by redesigning Wfaas storage handling,
reducing backend usage by 500MB per workflow and elimination storage-ceiling failures
• Developed high-throughput REST APIs using Java and Open API to orchestrate 3 core distributed
components within an automation framework, eliminating error prone manual steps, increasing workflow
execution reliability, and enabling scalable, fully automated end-to-end operations
• Improved system responsiveness for internal teams by 66% by consolidating three redundant DB queries
into a single optimized call, significantly reducing database load
• Modernized a legacy Free Marker + JavaScript UI by developing 20+ React components with the Ant
Design, improving UI consistency, maintainability and scalability.
• . Increased test coverage by 75% by designing a Pytest-based framework for services running on Exadata
CPS hosts, strengthening release confidence
• Eliminated 75% of manual deployment effort by building a Jenkins CI/CD pipeline that automated daily CPS
software deployments across dual nodes reducing human error and accelerating delivery
• Improved VM node responsiveness and prevented storage-related slowdowns by developing automated
Python cleanup scripts that freed 22% of disk space on Exadata hosts