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RAG-Complete-Cook-Book is a practical guide and code collection for building Retrieval-Augmented Generation (RAG) pipelines. It provides step-by-step Jupyter notebooks and Python scripts covering the entire RAG workflow.
Enterprise-grade AI Architect for multi-agent system design. Transform natural language into agent blueprints, flowcharts & executive reports. Powered by Gemini 3 Pro. Built for Google Gemini API Developer Competition 2025.
A predictive wildfire intelligence platform built for the BigQuery AI Hackathon. This AI Architect solution uses a BigQuery ML model to deliver dynamic, real-time risk assessments based on geospatial and temporal data.
AI Architect & Systems Engineer portfolio – experimental prototypes in offline AI, swarm intelligence, belief ecology, anomaly detection, and autonomous system design.