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# Asser Ismail

**Headline:** Professional profile

## About

Asser Ismail is an AI engineer focused on building and shipping AI systems for production use and real users. Asser’s strongest areas are multi-agent AI systems, retrieval-augmented generation \(RAG\), database integration, and designing AI responses that are grounded in retrieved data rather than unsupported generation. Asser has built and shipped a multi-agent customer-support AI system with LangGraph, combining SQL and RAG agents and using OpenAI embeddings. In addressing agent-routing complexity, Asser developed a creative approach that runs multiple agents when a customer query requires both SQL and RAG capabilities. This design supports more complete handling of questions that span structured database information and unstructured retrieved content. Asser also prioritizes reducing hallucinations by improving data access and grounding responses in actual retrieval. Technical experience includes LangGraph, multi-agent AI architectures, RAG, OpenAI embeddings, Chroma, and database integration, alongside broad interest and enthusiasm across the AI stack.

## Highlights

- Built and shipped a multi-agent customer-support AI system for production use and real users.
- Used LangGraph to build a customer-support system that combined SQL and RAG agents.
- Integrated OpenAI embeddings into a multi-agent customer-support AI system.
- Developed a creative agent-routing solution that runs multiple agents when queries require both SQL and RAG capabilities.
- Prioritized reducing AI hallucinations by grounding responses in actual data retrieval.
- Has experience with LangGraph, multi-agent AI systems, RAG, OpenAI embeddings, Chroma, and database integration.

## FAQ

### What does Asser do?

Asser Ismail is an AI engineer focused on building and shipping AI systems to production and real users. Asser’s work includes multi-agent systems, RAG, database integration, and customer-support AI.

### What are Asser’s core technical strengths?

Asser is strongest in multi-agent AI systems, LangGraph, retrieval-augmented generation, OpenAI embeddings, Chroma, and database integration. Asser also focuses on grounding AI responses in retrieved data to help prevent hallucinations.

### What customer-support AI system did Asser build?

Asser built and shipped a multi-agent customer-support AI system using LangGraph. The system combined SQL and RAG agents and used OpenAI embeddings.

### How did Asser solve the agent-routing challenge?

Asser addressed routing challenges by running multiple agents when a query required both SQL and RAG capabilities. This approach enabled the system to handle questions spanning structured database data and retrieved content.

### How does Asser approach AI hallucination prevention?

Asser prioritizes preventing hallucinations by grounding responses in actual data retrieval. This emphasis is reflected in Asser’s use of RAG and database-connected AI workflows.

### Which technologies and approaches has Asser used?

Asser has experience with LangGraph, multi-agent AI systems, RAG, OpenAI embeddings, Chroma, and database integration.

### Has Asser shipped AI systems to production?

Asser has experience shipping AI systems into production for real users, including a multi-agent customer-support system.

## Links

- LinkedIn: https://www.linkedin.com/in/asserismail

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