oracle-samples/oci-data-science-ai-samples
Oct 2025 – Oct 2025
1 Month active
Languages Used
YAML
Technical Skills
Configuration ManagementGitHub ActionsIssue Template Creation
Rakesh Balan Lingakumar
PROFILE
Rakesh Balan Lingakumar
Rakesh Balan Lingakumar developed a streamlined feedback collection workflow for the oracle-samples/oci-data-science-ai-samples repository, focusing on improving the AI Hub user experience. He introduced a new YAML-based issue template that consolidated feedback types and removed bug-specific fields, enabling more efficient and standardized feedback across both Models and Solutions. Leveraging configuration management and GitHub Actions, Rakesh ensured that the new process was traceable and easy to maintain through well-documented commits. While the scope was limited to a single feature over one month, the work demonstrated a thoughtful approach to process improvement and repository hygiene, enhancing feedback quality and triage readiness.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
118
Activity Months1
Your Network
670 people
Work History
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly work summary focusing on key accomplishments in the oracle-samples/oci-data-science-ai-samples repository, with emphasis on delivering a streamlined AI Hub feedback collection workflow and improved feedback quality.
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly work summary focusing on key accomplishments in the oracle-samples/oci-data-science-ai-samples repository, with emphasis on delivering a streamlined AI Hub feedback collection workflow and improved feedback quality.
October 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability100.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
YAML
Technical Skills
Configuration ManagementGitHub ActionsIssue Template Creation
Repositories Contributed To
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