Hi, I'm Muhammad Bilal. I specialize in designing and engineering high-performance cross-platform Android & iOS applications using Flutter & Dart, Clean Architecture, and AI/ML integrations.
Across every project—whether extracting MRI data for brain tumor predictions, parsing electromagnetic fields and network packets for camera sweeps, or reading motion sensors for location broadcasts—the focal point remains the same: **translating signal to screen**.
I apply strict Clean Architecture, modular state management (Riverpod, Bloc, Provider), and robust backend systems (Firebase, Supabase, FastAPI) to ensure native-grade rendering speeds, testability, and responsiveness.
Production-grade Flutter builds across healthcare, safety, e-commerce, and security.
Zero false measurements, clean code patterns, and responsive UI optimization.
AI-powered brain tumor detection platform integrating TensorFlow Lite for real-time, on-device MRI scan analysis and custom doctor-patient communication dashboards.
Women's safety application featuring background shake sensors triggers and location tracking broadcast pipelines.
E-commerce application for premium watches featuring Stripe payment flows and administrative inventory dashboards.
Hidden camera detector app utilizing magnetometer sensors EMF graphs, optical lenses flare filters, and Wi-Fi scans.
Digital menu management platform for restaurants, featuring table-mapped QR codes and real-time edits sync.
An interactive digital library with category navigation, advanced search, and offline reading adjustments.
Smart home controller allowing remote device management and real-time status IoT telemetry.
Fast QR and barcode scanning app with customized multi-format generation capability and local history.
Developing and maintaining high-performance cross-platform mobile apps for international clients using Flutter and Dart.
Focused on software engineering principles, modern design designs, clean coding practices, data structures, algorithms, databases, and agile execution strategies.