Charan G

Designed and developed deployment automation scripts using Oracle's internal deployment tooling and Bash scripting, enabling parallel deployments and reducing overall pipeline execution time by approximately 70–80 minutes. Developed an AI-powered troubleshooting assistant by integrating Jenkins job metadata and Confluence knowledge through an MCP-based architecture, supporting 10 Jenkins jobs and 30+ documented failure scenarios for rapid root-cause analysis. Owned the daily Jenkins build and deployment pipeline for the Retail Insights platform, monitoring execution, investigating failures, and coordinating with development, QA, deployment, and infrastructure teams to maintain build stability and release readiness.

Associate Software Developer Intern, Retail Insights Team - Oracle

(2026-01 - 2026-07)

• Designed and developed deployment automation scripts using Oracle's internal deployment tooling and Bash scripting, enabling parallel deployments and reducing overall pipeline execution time by approximately 70–80 minutes.
• Developed an AI-powered troubleshooting assistant by integrating Jenkins job metadata and Confluence knowledge through an MCP-based architecture, supporting 10 Jenkins jobs and 30+ documented failure scenarios for rapid root-cause analysis.
• Owned the daily Jenkins build and deployment pipeline for the Retail Insights platform, monitoring execution, investigating failures, and coordinating with development, QA, deployment, and infrastructure teams to maintain build stability and release readiness.
• Diagnosed and resolved build, deployment, and batch-processing issues across Jenkins, Kubernetes environments, and internal orchestration systems, collaborating with cross-functional teams globally to ensure successful daily builds and QA deliveries.

SDET Intern, Data Science QA Team - Netradyne

(2025-05 - 2025-07)

• Developed automated data validation scripts in Python (Pytest) to verify Chat Assistant API responses, reducing validation time per query to under 60 seconds.
• Designed and documented a reusable test framework with GitHub integration, enabling consistent execution and faster onboarding for QA engineers.
• Collaborated with developers to refine validation logic, obtain API specifications, and align testing with real-world customer scenarios.

B.E. - Computer Science and Engineering - B.M.S. College of Engineering (BMSCE) (2022 - 2026)