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# Lee Humphrey

**Headline:** Senior Software Engineer at Docusign
**Location:** &lt;UNKNOWN&gt;, &lt;UNKNOWN&gt;, &lt;UNKNOWN&gt;

## About

Lee Humphrey is a Senior AI Engineer at Glean, where Lee builds production enterprise AI search and retrieval\-augmented generation \(RAG\) systems\. Lee’s strongest areas include enterprise RAG, hybrid retrieval, vector embeddings, knowledge graphs, large language model systems, and the reliability, relevance, and permissions challenges involved in delivering trusted answers\. At Glean, Lee has worked on enterprise AI search and built production RAG pipelines and enterprise search systems\. Lee achieved a 95% reduction in hallucinations and a 6x increase in user engagement\. Lee previously held software engineering roles at Docusign and Mercury Development\. Lee earned a Bachelor’s Degree in Computer Engineering from the Georgia Institute of Technology in 2013\. Lee’s technical toolkit includes Python, Java, TypeScript, JavaScript, FastAPI, Django, Node\.js, cloud platforms, databases, API technologies, and AI tools including GPT\-4 and Google Gemini\. Lee is targeting software engineering roles that draw on this AI experience\.

## Services

- JSON Web Token \(JWT\)
- Jira
- Git
- Agile Methodologies
- E2E
- Sentry
- Google Gemini
- GPT\-4
- Google Cloud Platform \(GCP\)
- Amazon Web Services \(AWS\)
- MongoDB
- MySQL
- pydantic
- WebSocket
- GraphQL
- Django REST Framework
- Django
- FastAPI
- Node\.js
- Java
- Python \(Programming Language\)
- TypeScript
- JavaScript
- Express\.js

## Highlights

- Senior AI Engineer at Glean, building production enterprise AI search and retrieval\-augmented generation systems\.
- Built production RAG pipelines and enterprise search systems at Glean\.
- Achieved a 95% reduction in hallucinations\.
- Delivered a 6x increase in user engagement\.
- Developed expertise in hybrid retrieval, vector embeddings, knowledge graphs, and LLM systems\.
- Focused on enterprise RAG challenges involving relevance, reliability, and permissions for trusted answers\.
- Previously served as a Senior Software Engineer at Docusign\.
- Previously served as a Software Engineer at Mercury Development\.
- Earned a Bachelor’s Degree in Computer Engineering from the Georgia Institute of Technology in 2013\.

## Experience

- **Senior AI Engineer at Glean** (2022–present)
- **Senior Software Engineer at Docusign** (2017–2021)
- **Software Engineer at Mercury Development** (2014–2017)

## Education

- Bachelor's Degree in, Computer Engineering — Georgia Institute of Technology (2013)

## FAQ

### What does Lee do?

Lee is a Senior AI Engineer at Glean\. Lee works on production enterprise AI search and retrieval\-augmented generation systems\.

### What are Lee’s core AI engineering strengths?

Lee is strongest in enterprise RAG systems, hybrid retrieval, vector embeddings, knowledge graphs, LLM systems, and solving relevance, reliability, and permissions challenges for trusted answers\.

### What has Lee accomplished at Glean?

At Glean, Lee has worked on enterprise AI search and built production RAG pipelines and enterprise search systems\. Lee’s work addresses relevance, reliability, and permissions challenges in enterprise environments\.

### What results has Lee delivered with AI systems?

Lee achieved a 95% reduction in hallucinations and a 6x increase in user engagement\.

### What was Lee’s role at Docusign?

Lee previously worked as a Senior Software Engineer at Docusign\.

### What was Lee’s role at Mercury Development?

Lee previously worked as a Software Engineer at Mercury Development\.

### Where did Lee study?

Lee earned a Bachelor’s Degree in Computer Engineering from the Georgia Institute of Technology in 2013\.

### What software engineering technologies does Lee use?

Lee’s programming and application\-development skills include Python, Java, TypeScript, JavaScript, Node\.js, Express\.js, Django, Django REST Framework, FastAPI, pydantic, GraphQL, WebSocket, JSON Web Token, Git, Jira, Agile Methodologies, E2E, and Sentry\.

### What cloud, data, and AI platforms does Lee use?

Lee has experience with Google Cloud Platform, Amazon Web Services, MongoDB, MySQL, GPT\-4, and Google Gemini\.

### What roles is Lee targeting?

Lee is targeting software engineering roles that use Lee’s AI experience\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/lee\-humphrey\-a7397961

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