Food Delivery Platform (3 Apps, Full Stack)

A food-tech company wanted to build a next-generation food delivery platform that could scale across multiple cities. The app needed to handle three user types (customers, restaurant partners, and delivery riders) with real-time coordination between all three. Speed, reliability, and a seamless ordering experience were non-negotiable.

The technical challenge: real-time GPS tracking, dynamic pricing, intelligent order routing, and a backend that could handle extreme traffic spikes during peak meal hours.

I designed and developed a full-scale food delivery ecosystem for iOS and Android, covering the customer app, restaurant dashboard, and rider app.

Restaurant discovery with cuisine filters, ratings, dietary tags, and distance sorting

Real-time order tracking with live GPS map showing rider location

Smart search with AI-powered restaurant and dish recommendations

Scheduled orders and repeat order shortcuts

Multiple payment methods (cards, wallets, cash on delivery, promo codes)

In-app chat and call with delivery rider

Order history with one-tap reorder

Ratings and reviews for restaurants and riders

Push notifications for order status, deals, and personalized offers

Order management with accept/reject flow and prep time estimates

Menu management with real-time availability toggling

Analytics dashboard (revenue, order volume, ratings, peak hours)

Promotional tools for featured listings and discounts

Real-time order assignment with route optimization

Turn-by-turn navigation integration

Earnings dashboard with daily/weekly breakdowns

Availability toggle and shift scheduling

Frontend: React Native (cross-platform iOS & Android for all 3 apps)

Backend: Node.js with microservices architecture for high throughput

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

Database: PostgreSQL for transactional data, Redis for caching and session management, Elasticsearch for search

Real-time: WebSocket and MQTT for live order tracking and rider location updates

Maps & Routing: Google Maps SDK with custom route optimization algorithms

Payments: Stripe, local payment gateway integrations, wallet system

Monitoring: Datadog and CloudWatch for performance monitoring and alerting

I led the full development lifecycle across all three applications: system architecture, mobile UI/UX implementation, microservices backend, real-time tracking infrastructure, payment systems, search and recommendation engine, and App Store / Play Store deployment. I worked closely with the operations team to optimize delivery routing algorithms and reduce average delivery times.

Built a real-time order routing engine that matches orders to the nearest available rider in under a second

Designed microservices architecture handling high-volume concurrent orders during peak meal hours

Implemented live GPS tracking with WebSocket and MQTT, streaming rider positions to customers with sub-second latency

Built an AI-powered search and recommendation engine using Elasticsearch

Designed a dynamic pricing system that adjusts delivery fees based on demand, distance, and time

Achieved 99.99% uptime during peak traffic periods

Successfully launched on both App Store and Google Play