Ziad Ehab

The business relied on phone calls, WhatsApp messages, and paper notes to coordinate orders. That created delays in dispatching workers, poor visibility of active pickups, and travel routes that wasted time and fuel.

I built a real-time Flutter platform with Riverpod, Supabase, PostgreSQL Row Level Security, GPS tracking, OSRM routing, and local Hive caching. After the MVP, I refactored the codebase into a stronger Clean Architecture foundation.

Athletes relied on scattered social posts, direct calls, and chaotic WhatsApp messages to find available football pitches, padel courts, or tennis courts — no real-time visibility, pricing clarity, or distance insight.

I engineered GPS-based venue discovery, dynamic distance matrices, crowdsourced venue submission, optimized PostgreSQL schemas, strict auth rules, and local SharedPreferences caching for sub-second loads.

Social platforms face scalability bottlenecks: constant feed scrolling, real-time sync delays during chat or voting, nested comment complexity, and media-heavy layouts that slow user experience.

I used strict Clean Architecture, smart pagination, Hive offline caching, Supabase Realtime, PostgreSQL RLS, Firebase Cloud Messaging, deep links, compression pipelines, skeleton states, and debounced search.