TITI - Your Ride City to City.
Real-time rider-to-driver matching powered by radial search, PostGIS geospatial indexing, Redis caching, and asynchronous Celery queues on Azure.
Built for"ALJISR TECHNOLOGY PVT LTD"
Key Workflows & Interface Walkthrough
Demo notice : due to NDA, the walkthrough videos below are demo versions shown with test data.
Rider App Live Demo
End-to-end rider journey from instant booking and route selection to live tracking and fare settlement.
Driver App Live Demo
Driver-side flow going online, accepting dispatched rides, navigating to pickup and completing trips.
Home Screen
Riders land on a clean home screen with Where-to search, Trip / Tour / Courier suggestions and one-tap Instant Trip booking.
Location Selection & Trip Booking
Passengers select departure and arrival provinces using Google Places autocomplete, view transparent upfront pricing, and trigger radial driver matching.
Live Route Tracking & Safe Real Time Tracking
User's Location is captured live and is available to be tracked with GPS coordinates, cached in Redis. Route traces are available for active highway transit with real-time ETA updates.
Trip Summary and Payment Screen
After a trip ends. Riders can view trip summary and make payments via online payment aggregator or in-app wallet.
Driver Home Screen and Online Mode
Drivers toggle online availability, stream live GPS to Redis and appear in PostGIS radial search for nearby ride requests.
Radial Search & Driver Dispatch
PostGIS SRID queries prioritize proximity-ranked drivers within radial distance . Prioritized drivers receive instant push alerts via PNS.
Admin Control Panel & Operations Overview
Real-time administrative control panel providing live business operations metrics, active riders, online drivers, booked trips, and marketing management.
Geospatial Trip Dispatch & Monitoring
Centralized trip operations dashboard tracking PostGIS SRID geospatial coordinates, vehicle tier dispatches, fares, and real-time trip statuses.
User Management & Fleet Operations
Integrated user administration console for managing rider and driver accounts, phone OTP verification status, and account privileges.
Project Blueprint & Execution Overview
ALJISR TECHNOLOGY PVT LTD
Transportation & Mobility
Iraq with phased expansion across the Middle East
3-6 Months
End-to-end Product Engineering
Delivered and Prepared for Launch
Lean senior engineering team (2 engineers) providing technical leadership, product strategy, backend engineering, mobile development, infrastructure, and launch ownership.
Product Strategy, Technical Architecture, Django Backend, React Native (Expo), Geospatial Dispatch Engine, Azure Cloud Infrastructure, Performance & Scale Engineering
Iraq's intercity travel ran on informal garage networks with unpredictable pricing and no trip visibility. Existing ride apps only handled short urban trips.
We owned engineering end to end as product partner: geospatial dispatch on PostGIS and Redis, event driven backend on Django and Celery, and Azure infrastructure built to expand across the region.
Measurable Objectives & Outcomes
Intelligent Driver Discovery
Built a geospatial matching engine using PostGIS spatial queries, SRID calculations, and Redis caching to identify and rank nearby available drivers quickly.
Resilient Trip Communication
Implemented a push notification architecture to deliver booking requests, confirmations, and trip updates reliably across low-connectivity highway routes.
Scalable Booking Infrastructure
Leveraged Celery and Redis asynchronous processing to handle background operations like trip events, notifications, and transaction workflows without impacting core APIs.
MVP Scalability Foundation
Architected the platform to support initial user growth of 5,000+ daily active users with optimized APIs, caching, database indexing, and scalable cloud infrastructure designed for future expansion.
Secure Cloud Foundation
Deployed the platform on Azure with scalable infrastructure, secure API communication, encrypted data storage, monitoring, and zero-downtime deployment workflows.
Expansion Ready Architecture
Designed a modular backend and mobile architecture capable of supporting additional cities, routes, users, and operational requirements as the platform scales.
Business Problem, Constraints & Goals
“Intercity transportation across Iraq was largely unorganized with passengers relying on fragmented offline transport hubs that offered inconsistent pricing, uncertain departures, limited journey visibility, and often expensive fares due to a lack of pricing transparency. Existing mobility apps were built primarily for intra-city travel and lacked the driver infrastructure, dispatch model, and operational capabilities required for reliable long-distance intercity transportation, leaving a significant gap in the market.”
- Unreliable highway connectivity
- Battery efficient realtime on both platforms
- Sub second driver matching at scale
- Cash and wallet payments reconciled
- Nearest driver matching with PostGIS radial search
- Async bookings on Celery and Redis for peak traffic
- Push trip updates that survive dead zones
- Secure scalable Azure backend with wallets included
Architecture and Flow
Real-Time Rider-to-Driver Matching Flow
Saved Data
Rider Flow & Driver Flow
Two sides of the same real-time matching loop from the flow chart above , what the rider experiences and what the driver experiences step by step.
Rider Flow
Driver Flow
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