Python django expert needed

Project: Real-Time Collaborative Document Editor with AI Integration
Overview
Develop a secure, scalable, and real-time collaborative document editor using Django, Django Channels (for WebSockets), and React.js (for the frontend). The application will allow multiple users to simultaneously edit documents, track changes, restore previous versions, and receive AI-powered writing suggestions.

Key Features
1. User Authentication & Authorization
JWT-based authentication (using Django REST Framework & SimpleJWT).

Role-based access control (Admin, Editor, Viewer).

Google OAuth 2.0 integration for seamless sign-in.

2. Real-Time Collaboration
WebSocket-based synchronization (Django Channels + Redis).

Operational Transformation (OT) or Conflict-free Replicated Data Type (CRDT) for conflict resolution.

Live cursor tracking to see other users' edits in real time.

3. Document Management
Rich text editing (Quill.js or TipTap).

Version control (snapshot-based history with diffs).

Export options (PDF, DOCX, Markdown).

4. AI-Powered Enhancements
OpenAI API integration for grammar checks & text suggestions.

Summarization & paraphrasing of selected text.

Sentiment analysis on document content.

5. Advanced Features
Comments & annotations (threaded discussions).

Document sharing & permissions (public/private links).

Activity logs (audit trail for compliance).

Tech Stack
Backend: Django, Django REST Framework, Django Channels.

Database: PostgreSQL (for structured data) + Redis (for real-time pub/sub).

Frontend: React.js (with Redux for state management).

Real-Time: WebSockets (via Django Channels).

AI Integration: OpenAI API (GPT-4 for text suggestions).

Deployment: Docker, Kubernetes (for scalability), AWS/GCP.

Expected Challenges & Solutions
Real-Time Sync Conflicts → Use OT/CRDT algorithms for consistency.

Scalability → Implement horizontal scaling with Redis pub/sub.

Security → Rate-limiting, CSRF protection, and encrypted WebSocket connections (WSS).

Performance → Optimize database queries with Django’s select_related & prefetch_related.

Deliverables
✅ Fully functional Django backend with REST & WebSocket APIs.
✅ React-based frontend with real-time editing.
✅ AI-powered text suggestions (OpenAI integration).
✅ Version control & document history.
✅ Deployment scripts (Docker + CI/CD pipeline).

Why This Project?
This project demonstrates expert-level Django skills, including:
✔ Real-time systems (WebSockets, async programming).
✔ Database optimization (PostgreSQL, Redis).
✔ Security best practices (JWT, OAuth, rate-limiting).
✔ AI/ML integration (OpenAI API)