DrAlzahraniProjects/csusb_fall2024_cse6550_team4
Nov 2024 – Nov 2024
1 Month active
Languages Used
CSVMarkdownPython
Technical Skills
Backend DevelopmentData ManagementDocumentation
Fizashaik
PROFILE
Fizashaik
Worked on the csusb_fall2024_cse6550_team4 repository to enhance chatbot QA capabilities and streamline artifact lifecycle management. Delivered user-facing improvements by updating and consolidating SQA question sets, refining the handling of answerable and unanswerable queries, and refreshing related documentation. Addressed data integrity by fixing syntax and recognition issues in the answerable_questions dictionary within the Python backend. Managed dataset artifacts by adding and later removing output binaries to support reliable curation workflows. Demonstrated backend development and data management skills, utilizing Python, CSV, and Markdown to improve QA accuracy, reduce manual overhead, and ensure robust documentation and version control practices throughout the project.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
10Total
Bugs
1
Commits
10
Features
2
Lines of code
127
Activity Months1
Your Network
38 peopleWork History
November 2024
10 Commits • 2 Features
Nov 1, 2024In November 2024, delivered user-facing chatbot QA improvements, reinforced artifact lifecycle for Nemo curator, and fixed key data-handling issues in the csusb_fall2024_cse6550_team4 project. These efforts improved accuracy of QA responses and reliability of artifact management, reducing manual QA overhead and preventing stale artifacts. Demonstrated Python proficiency, data-driven QA practices, and strong version-control/documentation discipline across the repository.
10 Commits • 2 Features
Nov 1, 2024In November 2024, delivered user-facing chatbot QA improvements, reinforced artifact lifecycle for Nemo curator, and fixed key data-handling issues in the csusb_fall2024_cse6550_team4 project. These efforts improved accuracy of QA responses and reliability of artifact management, reducing manual QA overhead and preventing stale artifacts. Demonstrated Python proficiency, data-driven QA practices, and strong version-control/documentation discipline across the repository.
November 2024
Activity
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Quality Metrics
Correctness92.0%
Maintainability92.0%
Architecture88.0%
Performance94.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVMarkdownPython
Technical Skills
Backend DevelopmentData ManagementDocumentation
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