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Cecilia W. Mbugua AI Automation Engineer | RAG Systems | Multi-Agent AI | FastAPI | Python Nairobi, Kenya | +254 742 236 532 | [email protected] linkedin.com/in/cess-mbugua | github.com/mbuguacessy-glitch | ai-agent-api-w7uh.onrender.com PROFESSIONAL SUMMARY AI Automation Engineer specialising in RAG systems, multi-agent AI pipelines, and production API deployment. I build Python-based automation systems that solve real business problems by reducing manual processing time from hours to seconds. Experienced across the full AI automation stack: no-code workflow automation with n8n, Python AI integration with LangChain and Claude API, vector database systems with ChromaDB, and production deployment on cloud platforms. 13 production projects built and deployed across a structured AI automation engineering roadmap, all open source on GitHub with documented measurable outcomes. TECHNICAL SKILLS Languages Python 3.12 AI Frameworks LangChain 0.3, LangGraph, Claude API (Anthropic), ChromaDB APIs & Servers FastAPI, Uvicorn, Pydantic, REST API design Data Processing Pandas, JSON, CSV pipelines, Airtable API Automation n8n, Make.com, webhook integrations, HTTP Request nodes Cloud & DevOps Render, Railway, GitHub, environment variables, CI/CD via git push AI Concepts RAG, vector embeddings, ChromaDB, multi-agent orchestration, prompt engineering Tools VS Code, Postman, Tavily Search API, HuggingFace embeddings, python-dotenv PROJECTS Intelligent Document Q&A System (RAG): github.com/