.NET MAUI Developer for Real-Time YOLO Object Detection

Job Title: Cross-Platform .NET MAUI Developer – Real-Time YOLO Object Detection + ReactJS/React Native Apps

Project Overview:
We are seeking an experienced developer (or team) to build a cross-platform solution that combines .NET MAUI (Android & iOS) for real-time YOLO-based object detection with OCR capabilities, along with ReactJS (web interface) and React Native (mobile app) for extended functionality. The goal is to deliver an end-to-end intelligent system that detects objects in real time, extracts text, and surfaces results through web and mobile applications.

Responsibilities:

Develop a .NET MAUI mobile app integrating YOLO for real-time object detection and OCR frameworks (Tesseract, Azure Cognitive, or Google ML Kit).

Optimize camera streaming, inference speed, and device resource usage (GPU/CPU).

Build ReactJS web application for visualization, reporting, and user interaction.

Deliver a React Native app as an alternative client interface, ensuring seamless integration with APIs.

Design and implement secure backend APIs (REST/GraphQL) to connect .NET MAUI, ReactJS, and React Native components.

Implement telemetry, logging, and monitoring.

Provide full documentation, clean code, and unit testing.

Required Skills:

Expertise in .NET MAUI / Xamarin for cross-platform mobile development.

Experience with YOLO models (ONNX, TensorFlow, or PyTorch) and real-time video processing.

Hands-on with OCR frameworks (Tesseract, Azure Cognitive Services, Google ML Kit).

Strong proficiency in ReactJS and React Native development.

Knowledge of Azure services, APIs, authentication (OAuth/Azure AD), and CI/CD pipelines.

Deliverables:

Fully functional .NET MAUI app with YOLO + OCR.

ReactJS and React Native apps integrated with backend APIs.

Documentation, deployment guides, and tested source code.