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AnilKumar Kanakadandila
Mid-level Data & AI Engineer specializing in data engineering, analytics, and LLM/RAG apps
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About
Built a production RAG-based “unified assistant” that consolidates siloed company documents into a single chatbot while enforcing fine-grained access control via RBAC/metadata filtering with OAuth2/JWT. Experienced orchestrating LLM workflows with LangChain/LangGraph + FastAPI (async + caching) and measuring performance via retrieval accuracy and response-time SLAs. Also delivered a churn analytics solution with dashboards and automated retention campaigns using n8n.
Experience
Education
Key Strengths
- Built and deployed a secure enterprise RAG assistant unifying cross-team documents into a single knowledge base
- Implemented permissions-aware retrieval using RBAC + metadata filtering before generation (OAuth2/JWT identity)
- Orchestrated multi-component LLM workflows (retriever/vector DB/LLM) with LangChain/LangGraph and FastAPI
- Improved latency via async processing and caching for repeated queries
- Evaluates systems with measurable metrics (retrieval accuracy vs expected docs, average response time under a few seconds)
- Delivered churn prediction + dashboarding and automated retention outreach via n8n and targeted emails
- Communicates with non-technical stakeholders using dashboards/visuals and weekly business-metric updates
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