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John Joji Melel
Intern Generative AI Engineer specializing in RAG and multi-agent systems
Chicago, ILGenerative AI Engineering Intern2 years experienceInternConsultingHealthcarePharmaceuticals
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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).
Experience
Generative AI Engineering InternNeuraflash
Data Science Associate ConsultantZS Associates
Data Science AssociateZS Associates
Education
University of Chicagomaster, Applied Data Science (2025)
National Institute of Technology Calicutbachelor, Mechanical Engineering (2022)
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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