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Saurabh DantaniFull Stack Developer
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BackendWebSockets & GPS

Ride Sharing App Backend

Backend microservices for ride-sharing platform with real-time driver tracking, route optimization, fare calculation, surge pricing algorithm, driver-rider matching, and payment settlement system. Built with clean modular architecture, rigorous automated testing, and comprehensive logging. Designed from the ground up for high reliability, security, and lightning-fast user interactions.

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Ride Sharing App Backend - Full Stack Architecture & Implementation
The Challenge

Ride hailing dispatch system required ultra-low latency driver matching and live trip route calculation under high concurrency.

The Solution

Engineered event-driven backend utilizing Redis pub/sub, MongoDB geospatial indices, and WebSocket streams for real-time ride tracking.

The Impact

Sub-second driver matching and continuous trip telemetry update for thousands of concurrent rides.

Technologies & Tools

Node.jsExpress.jsMongoDBRedisSocket.ioGoogle Maps APIDocker

Key Engineering Challenges

1Calculating dynamic surge pricing based on real-time localized supply and demand
2Handling sudden network disconnects and reconnects from moving driver phones
3Ensuring transactional consistency for fare calculation, toll charges, and splits
4Scaling WebSocket connections across multiple load-balanced node instances using Redis adapters

Results & Measurable Outcomes

Handled 20,000+ concurrent vehicle location updates per minute
Reduced ride matching latency to under 800ms
Maintained 99.98% uptime during heavy rush hour peaks
Automated driver earnings calculation and bank payout integration
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