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Yogita Adari
Mid-level AI Engineer specializing in generative AI, multimodal evaluation, and agentic RAG systems
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About
Built and productionized an agentic LLM automation system for an insurance client to determine medication eligibility, using prompt-chaining plus a RAG pipeline over policy rules and deploying on AWS (Lambda/Step Functions, Bedrock) with a serverless architecture. Addressed major data/schema mismatch issues via a semantic matching pipeline and validated performance through human agreement scoring, A/B testing, KPI monitoring, and confidence-based human-in-the-loop review.
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Key Strengths
- Built and deployed production LLM/agentic system for insurance eligibility decisions
- Designed scalable serverless agent architecture using AWS Lambda/Step Functions and routing
- Implemented RAG over policy rules to ground decisions with retrieved evidence
- Resolved raw-data to DB schema mismatches via semantic column matching/merging pipeline
- End-to-end evaluation approach: stage-wise validation rules, human agreement scoring, A/B testing, KPI monitoring
- Operationalized safety with confidence scores and human-review fallback for low-confidence outputs
- Drove stakeholder buy-in by proposing phased automation with measurable KPI comparisons and rollback option
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