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Aaron Smith

PROFILE

Aaron Smith

Developed analytics-driven features to enhance image engagement and user interaction across the Immpression-Dev-Team/backend and mobile-app repositories. Focused on scalable data capture, the work introduced a new image view tracking model and RESTful PATCH routes in Node.js and MongoDB, enabling per-user history and automatic view count increments. On the mobile side, React Native was used to implement unique image view tracking and a notification system that triggers every 60 seconds, increasing user engagement. The approach emphasized cross-platform consistency and reliable analytics, laying a foundation for more accurate engagement metrics and supporting faster iteration on future product features.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

3Total
Bugs
0
Commits
3
Features
2
Lines of code
841
Activity Months1

Your Network

14 people

Shared Repositories

14

Work History

October 2025

3 Commits • 2 Features

Oct 1, 2025

Monthly 2025-10 work summary focusing on delivering analytics-driven features for image engagement and boosting user engagement through timely notifications. The work emphasizes business value via scalable data capture, improved analytics accuracy, and cross‑platform consistency between backend and mobile apps.

Activity

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Quality Metrics

Correctness86.6%
Maintainability86.6%
Architecture86.6%
Performance86.6%
AI Usage33.4%

Skills & Technologies

Programming Languages

JavaScript

Technical Skills

API integrationMongoDBNode.jsRESTful API designReact Nativebackend developmentfront end development

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

Immpression-Dev-Team/backend

Oct 2025 Oct 2025
1 Month active

Languages Used

JavaScript

Technical Skills

MongoDBNode.jsRESTful API designbackend development

Immpression-Dev-Team/mobile-app

Oct 2025 Oct 2025
1 Month active

Languages Used

JavaScript

Technical Skills

API integrationReact Nativefront end development