# Developer

The **Genghis Kahn AI** project is led by **Marcus Rein (**[**Twitter** ](https://x.com/marcus_rein_)**|** [**Github** ](https://github.com/marcusrein)**|** [**Linkedin**](https://www.linkedin.com/in/marcusrein)**)**, an experienced developer with a **diverse background** spanning both **crypto and traditional industries**. With **four years in the crypto space**, Marcus has contributed to [**Soulbound Labs**](https://github.com/SoulboundLabs) and **Edge & Node**, gaining deep expertise in **blockchain development, smart contracts, and Web3 ecosystems**.

<div align="center"><figure><img src="/files/jcxnvdIr5XqUaL06JgNR" alt="" width="345"><figcaption><p>Marcus Rein - Project Leader and main Developer</p></figcaption></figure></div>

As a **full-time Developer Relations specialist**, Marcus is actively involved in:

* **Podcasts** discussing blockchain innovation and AI integration.
* **Technical Documentation** to ensure clarity and accessibility for developers and users.
* **Live Coding Demos & Workshops Worldwide**, teaching the next generation of Web3 builders.

Beyond crypto, Marcus has a **Doctorate in Physical Therapy** and spent years balancing **coding while practicing in the medical field**. With **extensive experience leading workshops and teaching**, he brings a **strong educational approach** to the **Genghis Kahn AI** community.

Outside of tech, Marcus has an entrepreneurial spirit, having been a **business owner**, a **former USA soccer player**, and an avid **baker and dog owner**. His well-rounded experience shapes his ability to lead the **Genghis Kahn AI** project with **innovation, strategy, and community engagement** at its core.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://aiagent.gitbook.io/genghiskahnai/the-dev/developer.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.