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# Doug Wood

**Headline:** Professional profile
**Location:** &lt;UNKNOWN&gt;, &lt;UNKNOWN&gt;, &lt;UNKNOWN&gt;

## About

Doug Wood builds production\-grade AI and machine\-learning systems for healthcare and modern health systems\. His work centers on making ML and LLM applications measurable, observable, trustworthy, and practical in real operating environments, rather than stopping at core model development\. Doug has recently built Ginii using machine learning for healthcare, where he focused on ML architecture, data pipelines, and the reliability demands of production deployment\. He has experience building machine\-learning platforms and applying AI/ML within the healthcare domain\. In RAG work, Doug identified data\-pipeline quality and retrieval\-layer quality—not model behavior—as the central reliability challenge\. He implemented data validation and source traceability to strengthen clinical users’ trust in ML systems and support adoption\. Doug also works closely with clinicians and domain stakeholders to ensure solutions are accurate and practical for their intended users\. He is targeting Senior AI Engineer roles where he can own challenging systems work and deliver reliable healthcare AI platforms\.

## Highlights

- Recently built Ginii using machine learning for healthcare and modern health systems\.
- At Ginii, focused on ML architecture, data pipelines, and production reliability for healthcare machine\-learning systems\.
- Built a RAG system and identified data\-pipeline and retrieval\-layer quality as its primary reliability challenge, rather than model behavior\.
- Implemented data validation and source traceability in ML systems to improve trust and adoption with clinical users\.
- Collaborated with clinicians and domain stakeholders to ensure ML solutions were accurate and practical\.
- Built machine\-learning platforms and applied AI/ML in the healthcare domain\.
- Focuses on making ML and LLM systems production\-grade, measurable, observable, and trustworthy\.
- Targets Senior AI Engineer roles involving challenging AI systems ownership\.

## FAQ

### What does Doug do?

Doug builds production\-grade AI, machine\-learning, and LLM systems, with experience in healthcare and modern health systems\. He is targeting Senior AI Engineer roles\.

### What are Doug's core strengths?

Doug is strongest at making ML and LLM systems production\-grade, measurable, observable, and trustworthy\. His focus extends beyond building core ML systems to ensuring that they operate reliably in practice\.

### What did Doug do at Ginii?

Doug recently built Ginii using machine learning for healthcare and modern health systems\. At Ginii, he focused on ML architecture, data pipelines, and production reliability\.

### What was Doug's most challenging work at Ginii?

Doug described the hardest challenge at Ginii as building a reliable production ML pipeline for healthcare\. He addressed that challenge through attention to ML architecture, data pipelines, and operational reliability\.

### What did Doug learn from building a RAG system?

Doug built a RAG system and found that its main reliability challenge was the quality of the data pipeline and retrieval layer, rather than model behavior\.

### How does Doug build trust in clinical ML systems?

Doug implemented data validation and source traceability in ML systems\. These practices improved trust and adoption among clinical users\.

### How does Doug work with clinicians and domain stakeholders?

Doug collaborates with clinicians and domain stakeholders to ensure ML solutions are accurate and practical for their intended use\.

### What domain and platform experience does Doug have?

Doug has experience building machine\-learning platforms and applying AI/ML to healthcare\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/ACoAAAGyURUBeQ\-QNxMjMK\_sODO4NfnGWbjNfjQ

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