MavithaShehar/pickn-go-backend
Sep 2025 – Sep 2025
1 Month active
Languages Used
JavaScript
Technical Skills
API developmentExpress.jsJavaScriptMongoDBNode.jsbackend development
kavindunilusha
PROFILE
Kavindunilusha
Worked on the Pickn-Go backend, focusing on enhancing the user authentication system to improve security and data integrity. Leveraging JavaScript, Node.js, and Express.js, the developer expanded the user model by adding address fields and rewrote the model to support new validation flows. They strengthened registration and password reset processes using express-validator, ensuring more robust input validation and reducing onboarding errors. File-naming hygiene was improved within authentication middleware, and a confirm-password/opt error was resolved to streamline the password confirmation flow. These updates resulted in a more maintainable authentication system and a smoother onboarding experience for new users in the repository.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
303
Activity Months1
Your Network
11 peopleShared Repositories
11
Work History
September 2025
3 Commits • 1 Features
Sep 1, 2025September 2025 — Pickn-Go backend (MavithaShehar/pickn-go-backend): Delivered substantial authentication improvements, expanded user model, and strengthened validation, improving security, data quality, and onboarding experience. Implemented file-naming hygiene for authentication middleware, added address fields to the user model, and tightened validation for registration and password reset using express-validator. Also fixed confirm-password/opt error and completed a model rewrite to support new validation flows. Impact: more secure, maintainable auth flow; reduced onboarding errors; better data integrity.
3 Commits • 1 Features
Sep 1, 2025September 2025 — Pickn-Go backend (MavithaShehar/pickn-go-backend): Delivered substantial authentication improvements, expanded user model, and strengthened validation, improving security, data quality, and onboarding experience. Implemented file-naming hygiene for authentication middleware, added address fields to the user model, and tightened validation for registration and password reset using express-validator. Also fixed confirm-password/opt error and completed a model rewrite to support new validation flows. Impact: more secure, maintainable auth flow; reduced onboarding errors; better data integrity.
September 2025
Activity
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Quality Metrics
Correctness86.6%
Maintainability86.6%
Architecture86.6%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScript
Technical Skills
API developmentExpress.jsJavaScriptMongoDBNode.jsbackend developmentvalidation
Repositories Contributed To
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