Monash-FIT3170/2025W2-FindingNibbles
May 2025 – May 2025
1 Month active
Languages Used
TypeScript
Technical Skills
API DevelopmentAuthenticationBackend DevelopmentDatabase SeedingJWTNode.js
Chance0105
PROFILE
Chance0105
During May 2025, Chris Won contributed to the Monash-FIT3170/2025W2-FindingNibbles repository by developing features that enhanced data modeling and authentication for backend services. He implemented database seeding for dietary restrictions and extended the user service API to provide detailed dietary data, enabling restaurants to categorize offerings by dietary options. Using TypeScript and Node.js, Chris standardized user identification across authentication and user modules by unifying JWT payloads, which improved authorization reliability and data integrity. His work laid the foundation for personalized restaurant discovery and streamlined downstream integrations, demonstrating depth in API development, authentication strategy, and cross-service identity management.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
2
Lines of code
107
Activity Months1
Your Network
137 peopleSame Organization
@student.monash.edu116
Work History
May 2025
4 Commits • 2 Features
May 1, 2025May 2025 performance summary for Monash-FIT3170/2025W2-FindingNibbles: Focused on strengthening data modeling, authentication, and API coverage to drive business value and enable downstream integrations. Key features delivered include Dietary Restrictions Data Seeding and API Enhancement, which seeds the database with diverse dietary restrictions and extends the user service to return detailed dietary restriction data, enabling restaurants to categorize by dietary options; and Unified JWT Payload and User Identification, which standardizes the user identifier using 'sub' and enhances JWT validation to return richer user information across authentication and user modules. Major bugs fixed include a fix in the user.service createUserSpecificDietaryRestriction to stabilize dietary restriction handling. Overall impact: improved data integrity, more reliable authorization, and groundwork for personalized restaurant discovery and user experiences. Technologies/skills demonstrated include database seeding, REST API enhancements, JWT strategy customization, cross-service identity standardization, and team alignment.
4 Commits • 2 Features
May 1, 2025May 2025 performance summary for Monash-FIT3170/2025W2-FindingNibbles: Focused on strengthening data modeling, authentication, and API coverage to drive business value and enable downstream integrations. Key features delivered include Dietary Restrictions Data Seeding and API Enhancement, which seeds the database with diverse dietary restrictions and extends the user service to return detailed dietary restriction data, enabling restaurants to categorize by dietary options; and Unified JWT Payload and User Identification, which standardizes the user identifier using 'sub' and enhances JWT validation to return richer user information across authentication and user modules. Major bugs fixed include a fix in the user.service createUserSpecificDietaryRestriction to stabilize dietary restriction handling. Overall impact: improved data integrity, more reliable authorization, and groundwork for personalized restaurant discovery and user experiences. Technologies/skills demonstrated include database seeding, REST API enhancements, JWT strategy customization, cross-service identity standardization, and team alignment.
May 2025
Activity
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Quality Metrics
Correctness85.0%
Maintainability85.0%
Architecture75.0%
Performance85.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
TypeScript
Technical Skills
API DevelopmentAuthenticationBackend DevelopmentDatabase SeedingJWTNode.jsTypeScript
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