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Divya Narahari
Mid-level AI Engineer specializing in LLMs, agentic AI, and machine learning platforms
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About
New grad focused on AI systems and agent-based development, with hands-on experience using LLMs as a coding partner and building RAG-based document processing workflows. Stands out for practical experimentation with semantic chunking, retrieval optimization, and multi-agent architectures, including redesigning a RAG workflow by adding a reasoning agent to improve response accuracy and reliability.
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Key Strengths
- Practical AI-assisted coding workflow
- Hands-on RAG pipeline optimization
- Strong understanding of chunking and retrieval tradeoffs
- Experience designing multi-agent AI workflows
- Applies agent specialization to improve quality
- Introduced intermediary reasoning agent to improve RAG reliability
- Owns prompt design, evaluation, and debugging for agent systems
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