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Contra - A professional network for the jobs and skills of the futureFull-Stack Rails Developer for RV Camping Platform & Map Enhancements

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Tami Mitchell

pro

• Feb 10

Full-stack Rails development for an RV camping discovery platform serving 750,000+ members across 39,000+ campgrounds with 170,000+ user reviews. Enhanced Mapbox-based campground discovery with advanced filtering by amenity, price, and accessibility. Implemented cross-brand OAuth supporting single sign-on across Roadpass Digital's portfolio of travel products.

Optimized PostgreSQL queries and refactored legacy code, reducing page load times by ~30% on high-traffic search pages. Built Segment analytics tracking user behavior across discovery and booking flows. Standardized React and Stimulus components into a shared library with RSpec test coverage across 3 Rails applications.

Full Stack Development Mapbox Data Analysis Software Architecture React Ruby on Rails

Juice Lab

• Mar 4

Designing a refined Real Estate mobile experience focused on property discovery and smart insights.

The goal was to create a clean browsing flow where users can easily explore listings, analyze property insights, and interact with listings seamlessly.

Key focus: • Clear property presentation • Visual floor plan exploration • Smart insights dashboard • Smooth browsing experience

Designed for modern real estate platforms where discovery and data work together.

What feature would you improve in this experience?

uidesign productdesign mobileappdesign Mobile Design Product Design UI Design Figma

Rasel Alam Jubayed

• Mar 4

Good work

chandana A

• Mar 4

I built this Excel dashboard to analyze lung disease risk factors and treatment outcomes using healthcare data. The project focuses on identifying patterns between smoking habits, disease risk, and treatment success. Using Pivot Tables, charts, and interactive filters, the dashboard helps visualize key insights and supports better understanding of health trends.

Tools Used: Microsoft Excel, Pivot Tables, Data Cleaning, Data Visualization.