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Venkata Sai Pavan Dema
Mid-level Data Scientist/ML Engineer specializing in GenAI agents and MLOps
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AI/LLM engineer at Capital One who deployed a production RAG-powered fraud analysis and document intelligence platform using LangChain, OpenAI, Pinecone, Kafka, and AWS. Focused on reliability in real-time investigations via hybrid retrieval, schema-validated outputs, and LLM verification loops, reporting review-time reduction from hours to minutes and ~99% fraud detection precision.
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Key Strengths
- Built and deployed production RAG fraud analysis + document intelligence platform (LangChain/OpenAI/Pinecone/Kafka/AWS)
- Reduced fraud investigation/review time from hours to minutes
- Achieved ~99% fraud detection precision (reported)
- Strong LLM reliability engineering (hybrid retrieval, chunk tuning, relevance filtering, schema outputs, verification loop)
- Cost/latency-aware optimization (token cost optimization, caching)
- Orchestrated complex pipelines with Airflow, LangGraph, n8n, and Kubernetes
- Structured agent design with state boundaries plus edge-case/adversarial testing and measurable evaluation
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