MavithaShehar/pickn-go-backend
Sep 2025 – Sep 2025
1 Month active
Languages Used
JavaScript
Technical Skills
Backend DevelopmentDatabase QueryingExpress.jsMongoDBMongooseNode.js
IT22269652
PROFILE
It22269652
Developed the vehicle search and filtering backend for the MavithaShehar/pickn-go-backend repository, delivering a feature that enables users to search vehicles by type, location, and price range using dynamic filter construction. The implementation included new routes, controllers, and models, consolidating search functionality into a single endpoint while also providing dedicated endpoints for flexibility and performance. Leveraged JavaScript, Node.js, and MongoDB with Mongoose to design a modular, RESTful API architecture that supports optional parameters and efficient querying. This work enhanced vehicle discovery relevance, reduced search times, and established a scalable foundation for future backend search enhancements.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
236
Activity Months1
Your Network
22 peopleSame Organization
@my.sliit.lk11
Shared Repositories
11
Work History
September 2025
3 Commits • 1 Features
Sep 1, 2025September 2025 monthly wrap-up for MavithaShehar/pickn-go-backend. Key features delivered: Vehicle Search and Filtering backend with routes, controllers, and models; supports search by type, location, and price range with optional parameters and dynamic filter construction; consolidated into a single search endpoint and multiple dedicated endpoints for flexibility. Major bugs fixed: none reported this period. Overall impact: enhanced vehicle discovery, faster query responses, and a scalable foundation for future search enhancements, enabling improved customer satisfaction and conversion. Technologies/skills demonstrated: RESTful API design, modular backend architecture, dynamic query construction, incremental commits, and thoughtful endpoint consolidation.
3 Commits • 1 Features
Sep 1, 2025September 2025 monthly wrap-up for MavithaShehar/pickn-go-backend. Key features delivered: Vehicle Search and Filtering backend with routes, controllers, and models; supports search by type, location, and price range with optional parameters and dynamic filter construction; consolidated into a single search endpoint and multiple dedicated endpoints for flexibility. Major bugs fixed: none reported this period. Overall impact: enhanced vehicle discovery, faster query responses, and a scalable foundation for future search enhancements, enabling improved customer satisfaction and conversion. Technologies/skills demonstrated: RESTful API design, modular backend architecture, dynamic query construction, incremental commits, and thoughtful endpoint consolidation.
September 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScript
Technical Skills
Backend DevelopmentDatabase QueryingExpress.jsMongoDBMongooseNode.jsREST APIs
Repositories Contributed To
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