Ride-Hailing Platform (Rider + Driver + Admin)

A transportation company wanted to build a ride-hailing platform to compete in their target markets. The app needed to match riders with nearby drivers in seconds, handle surge pricing during peak hours, and deliver a frictionless booking experience across dozens of cities.

Scale was the defining constraint. The platform had to support high concurrency, process payments instantly, and keep both riders and drivers happy with fair pricing and smart routing.

I designed and developed a complete ride-hailing ecosystem for iOS and Android, covering the rider app, driver app, and admin dashboard.

One-tap ride booking with real-time driver matching

Live GPS tracking of driver en route and during the trip

Multiple ride categories (economy, comfort, premium, shared rides)

Fare estimation with transparent pricing breakdown

Surge pricing with clear multiplier display

Multiple payment methods (cards, wallets, cash, corporate accounts)

Scheduled rides for airport pickups and planned trips

Ride history with digital receipts and expense reports

In-app chat and call with driver

SOS emergency button with live location sharing

Ratings and reviews for drivers

Promo codes and referral rewards program

Real-time ride requests with accept/decline flow

Turn-by-turn navigation with traffic-aware routing

Earnings dashboard with daily, weekly, and monthly breakdowns

Heat maps showing high-demand zones

Availability toggle and shift management

Driver rating and performance analytics

Document management for license and vehicle verification

Fleet management with real-time vehicle tracking

Dynamic pricing engine configuration

Driver onboarding and verification workflows

Revenue analytics, trip data, and operational KPIs

Customer support ticketing system

Geo-fencing for service area management

Frontend: React Native (cross-platform iOS & Android for rider and driver apps)

Backend: Node.js with microservices architecture for high-concurrency dispatch

Infrastructure: AWS (EC2, ECS, S3, CloudFront, SQS, Lambda, ElastiCache, Kinesis)

Database: PostgreSQL for transactional data, Redis for real-time caching and geospatial queries

Real-time: WebSocket and MQTT for live location streaming and ride status updates

Maps & Routing: Google Maps SDK with custom ETA algorithms and traffic-aware routing

Payments: Stripe, local payment gateways, in-app wallet system

Analytics: Mixpanel for user behavior, Datadog for infrastructure monitoring

I led the full development lifecycle across all applications: system architecture, mobile UI/UX implementation, microservices backend, real-time dispatch engine, payment infrastructure, geospatial matching algorithms, and App Store / Play Store deployment. I worked directly with the operations team to fine-tune the dispatch algorithm, reducing average wait times and improving driver utilization rates.

Built a geospatial matching engine using Redis geospatial indexes that matches riders to the nearest available driver in under 8 seconds

Designed a dynamic surge pricing engine that adjusts fares based on real-time supply/demand ratios per zone

Implemented real-time location streaming via WebSocket and MQTT with sub-second latency for both rider and driver apps

Built a geo-fencing system for service area management, allowing ops to configure city boundaries and pricing zones

Designed a heat map system that aggregates demand data and surfaces high-earning zones to drivers in real time

Achieved 99.99% uptime across dispatch infrastructure

Platform expanded to support 50+ cities

Successfully launched on both App Store and Google Play