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Anvesh Reddy Narra
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and MLOps
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Built a secure, on-prem/private GPT assistant to replace manual SharePoint-style search across thousands of policies/SOPs/engineering docs, using a production RAG stack (LangChain/LangGraph, FAISS/Chroma, PyMuPDF+OCR, vLLM). Implemented layout-aware ingestion (including table-to-JSON) and a multi-agent retrieval/generation/verification workflow with strong observability and compliance guardrails, delivering ~70% reduction in search time.
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Key Strengths
- Built and deployed secure private GPT/RAG system for enterprise document QA
- Reduced manual document search time by ~70%
- Strong handling of large unstructured documents (tables/images) via layout-aware ingestion + OCR
- Multi-agent verification with citations to reduce hallucinations
- Orchestrates complex agent workflows with LangGraph (state transitions, retries, guardrails)
- Improved retrieval quality with hybrid search and re-ranking
- Production reliability focus: KPIs, unit + end-to-end testing, adversarial evals, continuous monitoring
- Enhanced observability with custom logging and trace IDs for debugging multi-step workflows
- Effective collaboration with non-technical stakeholders to translate needs into requirements (latency, compliance, data sources)
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