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# Om Ajay Thakur

**Headline:** Professional profile
**Location:** New York, NY, USA

## About

Om Ajay Thakur builds applied AI systems with a focus on clinical retrieval\-augmented generation, trustworthy evaluation, and close collaboration with end users\. Om’s current work includes a clinical RAG system for NYU Langone researchers that helps turn evidence\-finding tasks from hours into seconds\. The work developed into a research paper submitted for publication\. Om is strongest at discovering real user problems before building, working directly with users rather than only implementing predefined specifications\. Om prefers an embedded, customer\-close approach: owning solutions end to end, gathering feedback, and iterating weekly\. In healthcare AI, Om has built clinical RAG capabilities with citation tracking and reliability frameworks, with expert validation of model outputs to support the stakes of research use\. Om also builds the measurement infrastructure needed to assess AI systems rigorously\. Om created evaluation frameworks containing more than 1,900 apples\-to\-apples evaluations across faithfulness, completeness, latency, and cost\. Technical experience includes AWS Bedrock, RAG systems, LLM evaluation, and full\-stack development, alongside experience working with startups\.

## Highlights

- Built a clinical RAG system for NYU Langone researchers that reduced evidence\-finding time from hours to seconds\.
- Developed clinical RAG work into a research paper submitted for publication\.
- Built a clinical RAG model for healthcare researchers with citation tracking and reliability frameworks\.
- Created AI evaluation frameworks with more than 1,900 apples\-to\-apples evaluations\.
- Measured AI\-system faithfulness, completeness, latency, and cost through evaluation frameworks\.
- Validated clinical AI model outputs with experts\.
- Uses AWS Bedrock, RAG systems, LLM evaluation, and full\-stack development skills\.
- Applies direct user research and problem discovery to identify real end\-user needs\.
- Works embedded with users, iterates weekly from feedback, and builds close to customers\.
- Has experience working with startups\.

## FAQ

### What does Om do?

Om Ajay Thakur builds applied AI systems, including clinical retrieval\-augmented generation systems, AI evaluation frameworks, and full\-stack customer solutions\. Om’s technical experience includes AWS Bedrock, RAG systems, LLM evaluation, and full\-stack development\.

### What did Om accomplish for NYU Langone researchers?

Om built a clinical RAG system for NYU Langone researchers that reduced the time required to find evidence from hours to seconds\. The system included citation tracking and reliability frameworks for healthcare research use\.

### Did Om’s clinical RAG work lead to research publication?

Om’s clinical RAG work became a research paper that was submitted for publication\.

### How does Om evaluate AI and LLM systems?

Om built AI evaluation frameworks with more than 1,900 apples\-to\-apples evaluations\. The frameworks measured faithfulness, completeness, latency, and cost\.

### What are Om’s strengths in customer and user work?

Om is particularly strong at user research and problem discovery\. Om works directly with end users to identify real problems instead of building solely from predefined specifications\.

### How does Om approach product and solution development?

Om prefers to work embedded with users and close to the customer, own solutions end to end, and iterate weekly based on feedback\.

### How does Om approach trust and reliability in clinical AI?

For clinical AI, Om built citation tracking and reliability frameworks, and model outputs were validated by experts\. This approach supports the need to match system speed and usefulness to the stakes of healthcare research\.

### Does Om have startup experience?

Om has experience working for startups\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/theomthakur

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