IBM/risk-atlas-nexus
Sep 2025 – Sep 2025
1 Month active
Languages Used
JSONPython
Technical Skills
AI DevelopmentData AnalysisJSON manipulationMachine LearningNatural Language Processingdata modeling
Seshu Tirupathi
PROFILE
Seshu Tirupathi
During September 2025, Seshu developed the Questionnaire Confidence Metrics feature for the IBM/risk-atlas-nexus repository, focusing on enhancing the reliability and data quality of AI-generated questionnaire outputs. By extending the questionnaire schema and updating the JSON structure to include quantified confidence levels, Seshu enabled more transparent and trustworthy AI-assisted responses. The implementation leveraged Python for data modeling and JSON manipulation, integrating machine learning and natural language processing techniques to assess and store confidence values. This work improved monitoring, governance, and traceability of automated outputs, supporting better risk assessment and decision making. No major bugs were reported, reflecting a focused, well-executed release.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
1,403
Activity Months1
Work History
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for IBM/risk-atlas-nexus focusing on delivering reliability and data quality improvements via the Questionnaire Confidence Metrics feature. The effort introduced a quantified confidence metric for questionnaire outputs and updated the questionnaire JSON to include confidence levels, enhancing the trustworthiness of AI-generated answers and the overall data quality.
2 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for IBM/risk-atlas-nexus focusing on delivering reliability and data quality improvements via the Questionnaire Confidence Metrics feature. The effort introduced a quantified confidence metric for questionnaire outputs and updated the questionnaire JSON to include confidence levels, enhancing the trustworthiness of AI-generated answers and the overall data quality.
September 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage80.0%
Skills & Technologies
Programming Languages
JSONPython
Technical Skills
AI DevelopmentData AnalysisJSON manipulationMachine LearningNatural Language Processingdata modelingsoftware development
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