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Tejaswini Narayana
Mid-level Data Scientist & AI/ML Engineer specializing in GenAI and cloud ML
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About
GenAI/LLM engineer who recently built a production compliance assistant at State Farm for KYC/AML and regulatory teams, using AWS Bedrock + LangChain with Textract/Lambda pipelines to extract fields, tag risk, and summarize long documents. Implemented RAG, strict structured outputs, and human-in-the-loop guardrails, and reports automating ~80% of documentation work while reducing review time by ~40%.
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Key Strengths
- Built and deployed a GenAI compliance assistant end-to-end on AWS (Bedrock + LangChain + Textract + Lambda + S3)
- Improved compliance workflow efficiency (automated ~80% of documentation work; cut review time ~40%)
- Reliability engineering for LLMs (RAG over internal corpus, strict JSON schemas, validation + low-confidence human escalation)
- Scalable long-document processing (chunking + parallel Lambda processing to manage latency)
- Production-grade evaluation and monitoring (labeled test set, logging, feedback loop with analysts)
- Strong stakeholder collaboration translating compliance needs into measurable KPIs and requirements
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