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Narasimha Jwalapuram
Mid-level Applied AI Engineer specializing in LLM agents, RAG, and model alignment
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About
Applied Scientist with legal-tech experience who builds production LLM systems. Created and deployed Quibo AI, a LangGraph-based multi-agent pipeline that turns large markdown/Jupyter inputs into polished blogs and social posts, overcoming context limits via ChromaDB + HyDE RAG. Also built a large-scale iterative code-evolution workflow using multi-model orchestration (GPT/Claude/Gemini) with testing, debugging loops, and evaluation/observability practices.
Experience
Education
Key Strengths
- Built and deployed a LangGraph multi-agent content generation system (Quibo AI) to production
- Solved LLM context-window constraints using ChromaDB + HyDE RAG to retrieve only relevant file segments
- Designs complex multi-step/branching LLM workflows with orchestration frameworks (LangGraph/LangChain)
- Developed an iterative code-evolution pipeline (generate -> run/test -> bug-fix with LLM -> repeat) at large scale
- Strong evaluation mindset: benchmarks, observability, and LLM-as-a-judge for ambiguous tasks
- Cross-functional collaboration with non-technical stakeholders; translates requirements into structured (JSON) AI outputs
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