Monash-FIT3170/2025W1-QualAI
Mar 2025 – Apr 2025
2 Months active
Languages Used
MarkdownPython
Technical Skills
DocumentationAPI IntegrationDatabase InteractionLLM InteractionMongoDBPython Scripting
Jaemin Park
PROFILE
Jaemin Park
During a two-month period, Jpar0073 contributed to the Monash-FIT3170/2025W1-QualAI repository by developing feature demos and improving project documentation. They created Python scripts to demonstrate MongoDB CRUD operations and local API interaction with the deepseek-r1:1.5b model, enabling hands-on experimentation and validating data flows for future production use. Their work emphasized clear, reproducible onboarding materials and robust documentation, including updates to the README for contributor attribution and formatting consistency. By focusing on API integration, database interaction, and Python scripting, Jpar0073 delivered practical, learning-oriented tooling that supported both new contributor onboarding and the technical readiness of the codebase.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
3
Lines of code
126
Activity Months2
Your Network
133 peopleSame Organization
@student.monash.edu116
Work History
April 2025
3 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for Monash-FIT3170/2025W1-QualAI: Delivered two core feature demos to accelerate MongoDB integration and local model API workflows. No major bugs reported; focus on creating reusable, learning-oriented tooling. Outcomes include quicker onboarding, validated data flows, and a clear path to productionization.
3 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for Monash-FIT3170/2025W1-QualAI: Delivered two core feature demos to accelerate MongoDB integration and local model API workflows. No major bugs reported; focus on creating reusable, learning-oriented tooling. Outcomes include quicker onboarding, validated data flows, and a clear path to productionization.
April 2025
March 2025
3 Commits • 1 Features
Mar 1, 2025March 2025: Documentation focus for Monash-FIT3170/2025W1-QualAI with emphasis on README contributor attribution and formatting consistency. Delivered a targeted README update to add a new author and improve readability, while ensuring consistent formatting by reverting trailing newline changes.
March 2025
3 Commits • 1 Features
Mar 1, 2025March 2025: Documentation focus for Monash-FIT3170/2025W1-QualAI with emphasis on README contributor attribution and formatting consistency. Delivered a targeted README update to add a new author and improve readability, while ensuring consistent formatting by reverting trailing newline changes.
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture80.0%
Performance80.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
API IntegrationDatabase InteractionDocumentationLLM InteractionMongoDBPython Scripting
Repositories Contributed To
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