Advanced AI-Powered Knowledge Graph Platform featuring a sophisticated 3D visualization of my professional journey. This system demonstrates cutting-edge engineering with Cognee AI for automated knowledge extraction, generating 626+ interconnected entities and 1000+ relationships from unstructured resume data.
🚀 Technical Architecture Highlights:
- AI Knowledge Extraction: Cognee AI processes documents into rich entity-relationship networks
- 3D Force-Directed Visualization: Interactive graph with physics-based node positioning
- Supabase Integration: Cloud-native database with real-time data synchronization
- Remix Full-Stack: Server-side rendering with optimized data loading
- Multi-Source Architecture: Dynamic switching between curated, raw, and AI-generated data
The platform showcases modern data engineering principles with RAG capabilities, vector embeddings, and semantic search for intelligent conversations. Built with production-grade infrastructure including Vercel deployment, environment-based configurations, and TypeScript for type safety.
🎯 Interactive Features:
- 3D Navigation: Pan, zoom, and rotate through the knowledge graph in real-time
- AI-Powered Chat: Ask questions and get contextual responses from the knowledge base
- Entity Exploration: Click nodes to discover relationships between companies, skills, and projects
- Source Switching: Toggle between Cognee AI, curated data, and raw Supabase views
💬 Try Advanced Queries:
- "How did you implement microservices architecture at MoveUp AI?"
- "What's your experience with AI/ML model deployment and LLMOps?"
- "Explain your data engineering pipeline architecture using Spark and Airflow"
- "How do you approach scalable cloud infrastructure design?"