Monash-FIT3170/2025W2-FindingNibbles
Mar 2025 – Oct 2025
5 Months active
Languages Used
MarkdownJavaScriptSQLTypeScriptenvShellDartFlutter
Technical Skills
DocumentationAPI DesignAPI DevelopmentBackend DevelopmentDatabase ManagementDatabase Seeding
Raphael Schwalb
PROFILE
Raphael Schwalb
Over five months, contributed to Monash-FIT3170/2025W2-FindingNibbles by building and refining backend and frontend systems for restaurant discovery and analytics. Developed unified APIs and modular backend architecture using TypeScript, NestJS, and Prisma, enabling robust data management and scalable feature delivery. Integrated external services such as Google Places and Gemini LLM for enriched data extraction, while implementing AI-driven cuisine seeding and production-ready web scraping modules. Enhanced user experience through Flutter-based UI improvements, real-time menu analysis, and interactive map features. Maintained high code quality with thorough documentation, error handling, and test coverage, supporting maintainability and smooth onboarding for future contributors.
Overall Statistics
Feature vs Bugs
93%Features
Repository Contributions
30Total
Bugs
1
Commits
30
Features
14
Lines of code
1,246,351
Activity Months5
Your Network
21 peopleWork History
October 2025
11 Commits • 5 Features
Oct 1, 2025October 2025 performance summary for Monash-FIT3170/2025W2-FindingNibbles. Delivered major UX and map enhancements for restaurant discovery, introduced dish data in recipe details, added real-time menu analysis with user notifications, and completed stability refactors. Resulted in improved user engagement, reduced duplicate results, and smoother map interactions, underpinned by Flutter migrations and API updates.
11 Commits • 5 Features
Oct 1, 2025October 2025 performance summary for Monash-FIT3170/2025W2-FindingNibbles. Delivered major UX and map enhancements for restaurant discovery, introduced dish data in recipe details, added real-time menu analysis with user notifications, and completed stability refactors. Resulted in improved user engagement, reduced duplicate results, and smoother map interactions, underpinned by Flutter migrations and API updates.
October 2025
September 2025
7 Commits • 4 Features
Sep 1, 2025September 2025 summary for Monash-FIT3170/2025W2-FindingNibbles: Focused on data quality, governance, and analytics readiness. Key deliveries include AI-driven cuisine seeding and taxonomy enrichment (Gemini-based generation with keyword augmentation; taxonomy expansion; seed ratings normalized to [2,5]); a production-ready Google scraping module for analytics and search with robust error handling and anti-detection; and, in alignment with the new data strategy, deprecation/removal of scraping functionality and a codebase reset to raw data to enable a data-driven re-implementation. These efforts establish a solid data foundation that improves recommendations, insights, and scalable data pipelines.
September 2025
7 Commits • 4 Features
Sep 1, 2025September 2025 summary for Monash-FIT3170/2025W2-FindingNibbles: Focused on data quality, governance, and analytics readiness. Key deliveries include AI-driven cuisine seeding and taxonomy enrichment (Gemini-based generation with keyword augmentation; taxonomy expansion; seed ratings normalized to [2,5]); a production-ready Google scraping module for analytics and search with robust error handling and anti-detection; and, in alignment with the new data strategy, deprecation/removal of scraping functionality and a codebase reset to raw data to enable a data-driven re-implementation. These efforts establish a solid data foundation that improves recommendations, insights, and scalable data pipelines.
August 2025
7 Commits • 2 Features
Aug 1, 2025This monthly summary for 2025-08 highlights the delivery of the Google Places integration for restaurant discovery in Monash-FIT3170/2025W2-FindingNibbles, followed by deprecation/removal efforts to align with product strategy. The work spans feature development, refactoring for reliability, and cleanup to reduce maintenance risk, with documentation updates and code quality improvements.
7 Commits • 2 Features
Aug 1, 2025This monthly summary for 2025-08 highlights the delivery of the Google Places integration for restaurant discovery in Monash-FIT3170/2025W2-FindingNibbles, followed by deprecation/removal efforts to align with product strategy. The work spans feature development, refactoring for reliability, and cleanup to reduce maintenance risk, with documentation updates and code quality improvements.
August 2025
May 2025
4 Commits • 2 Features
May 1, 2025May 2025 monthly summary for Monash-FIT3170/2025W2-FindingNibbles. Delivered backend capabilities for restaurant and cuisine data, enhanced data seeding, and improved data integrity. Focused on delivering business value through a unified API, richer data relationships, and solid test coverage to enable faster development and reliable analytics.
May 2025
4 Commits • 2 Features
May 1, 2025May 2025 monthly summary for Monash-FIT3170/2025W2-FindingNibbles. Delivered backend capabilities for restaurant and cuisine data, enhanced data seeding, and improved data integrity. Focused on delivering business value through a unified API, richer data relationships, and solid test coverage to enable faster development and reliable analytics.
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025: Monthly summary for Monash-FIT3170/2025W2-FindingNibbles focusing on documentation and governance improvements with limited feature development this period.
1 Commits • 1 Features
Mar 1, 2025March 2025: Monthly summary for Monash-FIT3170/2025W2-FindingNibbles focusing on documentation and governance improvements with limited feature development this period.
March 2025
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Quality Metrics
Correctness88.8%
Maintainability88.6%
Architecture85.6%
Performance84.0%
AI Usage22.6%
Skills & Technologies
Programming Languages
DartFlutterJavaJavaScriptMarkdownSQLShellTypeScriptenv
Technical Skills
AI IntegrationAPI DesignAPI DevelopmentAPI IntegrationBackend ConfigurationBackend DevelopmentClass-validatorCode CleanupDTOsData EngineeringData ExtractionDatabase ManagementDatabase SeedingDocumentationError Handling
Repositories Contributed To
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