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Sam Ian
Senior ML/AI Engineer specializing in LLMs, RAG, and healthcare AI
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About
Built a production-grade clinical and insurance document AI system in a HIPAA/PHI-regulated environment, taking it from experimentation through Azure deployment, monitoring, and iterative improvement. Stands out for translating RAG/LLM research into reliable microservices with strong safety controls, drift monitoring, and human-in-the-loop workflows that cut manual review time by 60-70%.
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Key Strengths
- End-to-end ownership of production AI/ML systems
- Clinical and insurance document intelligence in HIPAA/PHI environments
- RAG-based LLM system design for high-compliance use cases
- Hallucination reduction through grounding, validation, and human review
- Production monitoring with drift detection and confidence-based escalation
- Microservices architecture for OCR, embeddings, and inference
- Python platform engineering with reusable internal libraries
- Strong testing discipline across unit, integration, contract, and regression tests
- Latency-cost-quality tradeoff management in production LLM systems
- Reduced manual document review time by 60-70%
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