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Shruti Rawat
Mid-level AI/ML Engineer specializing in LLMs, RAG, and MLOps for financial services
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Built and deployed a production Llama 3-based RAG document Q&A system using FAISS, addressing context-window limits through chunking and keeping retrieval accurate by regularly refreshing embeddings. Has hands-on orchestration experience with LangChain and LlamaIndex for multi-step LLM workflows (including memory management) and collaborates with non-technical teams (e.g., marketing) to deliver AI solutions like recommendation systems.
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Key Strengths
- Built and deployed Llama 3 RAG document Q&A system in production using FAISS
- Handled LLM context-window constraints via document chunking
- Maintained retrieval quality by regularly refreshing embeddings
- Experience orchestrating multi-step LLM workflows with LangChain and LlamaIndex (including memory management)
- Evaluates AI workflows using accuracy, latency, and user feedback; iterates via prompt refinement and workflow updates
- Bridged technical/non-technical gap by translating AI insights for marketing stakeholders
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