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# Somesh Chinnawar

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

## About

Somesh Chinnawar is a generative AI engineer with experience building clinical workflow applications and working in small cross-functional teams alongside engineers and product leads. At GE Healthcare, Somesh built a GenAI clinical workflow application with a retrieval-augmented generation pipeline, with particular focus on accuracy, traceability, and reliability in a high-stakes setting. Somesh is strongest in GenAI and RAG systems, retrieval optimization, and the end-to-end development of reliable AI applications. His technical toolkit includes Python, FastAPI, React, LangChain, LangGraph, vector databases, and AWS Bedrock. Somesh approaches retrieval problems by diagnosing and improving retrieval rather than simply attributing issues to the model, and he values human review as a way to build trust in AI applications. He is motivated by real ownership, participation in product decisions, and long-term responsibility for product delivery. Somesh enjoys both greenfield development and improving or scaling existing systems, and prefers sustained product ownership over moving repeatedly between projects.

## Highlights

- Built a GenAI clinical workflow application with a RAG pipeline at GE Healthcare.
- Focused on accuracy, traceability, and reliability for a clinical AI workflow application.
- Brings strong expertise in GenAI and RAG systems, including retrieval optimization.
- Uses Python, FastAPI, React, LangChain, LangGraph, vector databases, and AWS Bedrock.
- Worked in small cross-functional teams with engineers and product leads.
- Applies human review to help build trust in AI applications.
- Balances greenfield development with the improvement and scaling of existing systems.
- Values real ownership, product-decision involvement, end-to-end delivery, and long-term product responsibility.

## FAQ

### What does Somesh do?

Somesh Chinnawar builds generative AI applications, with particular strength in RAG systems, retrieval optimization, and reliable AI application development. He has worked on clinical workflow applications and values end-to-end product delivery.

### What did Somesh accomplish at GE Healthcare?

Somesh worked at GE Healthcare, where he built a GenAI clinical workflow application with a RAG pipeline. His work emphasized accuracy, traceability, and reliability.

### What technologies does Somesh use?

Somesh is proficient in Python, FastAPI, React, LangChain, LangGraph, vector databases, and AWS Bedrock.

### What are Somesh's core strengths?

Somesh has strong expertise in GenAI and RAG systems, including retrieval optimization and building dependable AI applications. He prioritizes accuracy, traceability, and reliability, especially for high-stakes AI workflows.

### How does Somesh approach reliable RAG systems?

Somesh addresses retrieval issues by diagnosing and improving the retrieval process rather than automatically blaming the model. He also values human review as a way to build trust in AI applications.

### What team environment has Somesh worked in?

Somesh has experience working in small cross-functional teams with engineers and product leads.

### What kind of product ownership does Somesh seek?

Somesh values real ownership, involvement in product decisions, and end-to-end delivery. He prefers long-term product ownership rather than moving frequently between projects.

### What types of product work does Somesh enjoy?

Somesh likes a balance between greenfield development and improving or scaling existing systems.

## Links

- LinkedIn: https://www.linkedin.com/in/ACoAADQ90oEBLg3sAAFmdFllFYT53-9YC1PnAbQ

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