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Pravallika Kilari
Mid-level AI/ML Engineer specializing in NLP, GenAI, and MLOps in healthcare and finance
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AI/ML engineer with CVS Health experience deploying production LLM systems in regulated healthcare settings, including a large-scale RAG solution (1M+ documents) built for compliance-grade, auditable policy/regulatory Q&A with strong anti-hallucination controls. Also delivered an NLP summarization system for physician notes/case narratives by partnering closely with non-technical care operations stakeholders and iterating via prototypes, dashboards, and feedback loops.
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Key Strengths
- Built and deployed production RAG system for healthcare operations/compliance to search & summarize internal policies/regulatory documents
- Designed hallucination-resistant LLM workflow (retrieval-first, confidence thresholds, 'no answer' fallback, source citations for auditability)
- Scaled document retrieval/indexing to 1M+ documents
- Hands-on orchestration of production ML systems with Airflow and Kubernetes (AWS EKS) including scaling, rollouts, and fault tolerance
- Structured evaluation approach for LLM workflows (golden queries, precision/accuracy/latency metrics, failure-rate tracking) with monitoring and alerting in production
- Effective collaboration with non-technical stakeholders using prototypes, dashboards, and iterative demos to refine AI solutions
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