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
Raphael Schwalb developed and maintained core features for the Monash-FIT3170/2025W2-FindingNibbles repository, focusing on backend APIs, data engineering, and user-facing enhancements over five months. He implemented restaurant and cuisine modules using TypeScript, NestJS, and Prisma, integrating AI-driven data seeding and Google Places API for enriched discovery. Raphael engineered robust data pipelines, introduced real-time menu analysis, and improved map-based UX in Flutter, addressing data quality and analytics readiness. His work included rigorous unit testing, error handling, and documentation updates, resulting in a maintainable, scalable codebase that supported rapid feature delivery and reliable analytics for restaurant discovery and recommendations.
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 people
Work 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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