Patent Innovation Predictor (Multi-Agent AI System)
Designed multi-agent AI system analyzing 10,000+ patent documents and predicting research trends using RAG. – Built scalable data pipeline with vector embeddings and hybrid semantic search, improving retrieval precision by 35%. – Orchestrated autonomous agents using CrewAI and Ollama with local-first deployment ensuring data privacy.