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Jeremiah Medina
Senior AI/ML Engineer specializing in LLMs, RAG, and cloud-native MLOps
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About
Built and owned a real-time clinical AI assistant at Andor Health, taking it from prototype through deployment, monitoring, and iterative improvement. Brings strong healthcare-focused GenAI experience across RAG, hybrid retrieval, LoRA fine-tuning, and production Python services, with measurable gains in accuracy, speed, and reliability.
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Key Strengths
- Owned a production healthcare AI assistant end-to-end
- Strong GenAI/RAG system design for clinical knowledge use cases
- Improved answer accuracy by 25%
- Reduced bad or unknown answers by 40%
- Improved response speed by around 40%
- Translated hybrid RAG research ideas into scalable production systems
- Balanced latency, cost, quality, and safety in ML system design
- Built evaluation frameworks using ROUGE, BERTScore, and domain-user review
- Implemented safety guardrails with confidence checks, grounding, fallbacks, and human review
- Designed reusable Python services and libraries with strong testing and deployment practices
- Deep healthcare domain context around medication, workflows, and internal clinical knowledge
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