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Rakesh Eleti
Mid-level AI/ML Engineer specializing in LLMs, RAG, and healthcare ML systems
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Healthcare ML/AI engineer at Cigna who has owned a clinical RAG pipeline from prototype through production, monitoring, compliance, and iteration. Stands out for combining LLM product delivery with healthcare-grade safety and explainability, driving a 38% retrieval precision gain, 42% hallucination reduction, and meaningful improvements in team velocity and system reliability.
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Key Strengths
- Owned production healthcare ML/AI systems end-to-end
- Shipped clinical RAG system with measurable quality gains
- 38% increase in retrieval precision
- 42% reduction in hallucinations
- Strong healthcare compliance and auditability focus
- Built real-time drift monitoring and automated retraining pipelines
- Balanced latency, cost, and safety in production LLM systems
- Reduced compute costs by 40% through embedding quantization and architecture changes
- Optimized low-latency retrieval to sub-120ms
- Built reusable Python platform components that improved engineering velocity
- Improved new engineer delivery speed by 40%
- Reduced production incidents by 60% through testing and modular design
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