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John Joji Melel
Intern Generative AI Engineer specializing in RAG and multi-agent systems
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About
Built and deployed a production RAG-based multi-agent chatbot during an internship to help consultants answer client questions and guide users through new IT systems with step-by-step instructions. Demonstrates hands-on experience with LangGraph/LangChain/Google ADK, unstructured document parsing and chunking for RAG, and a reliability-first approach to agent workflows (metrics, fallbacks, human-in-the-loop, guardrails).
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Key Strengths
- Deployed a production RAG grounded multi-agent chatbot
- Strong handling of unstructured document ingestion (PDF/PPT/DOC parsing and meaningful chunking)
- Pragmatic tool selection (evaluated local parsers vs online RAG parsing services and chose higher-quality outputs)
- Multi-agent orchestration with LangGraph (shared state and conditional edges)
- Reliability-focused AI workflow design (metrics, fallbacks/retries, structured JSON handling, human-in-the-loop, guardrails)
- Cost-aware model selection and debugging approach
- Effective collaboration with non-technical stakeholders (explained concepts, aligned on features via multiple calls)
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