> For the complete documentation index, see [llms.txt](https://blog.thatasiandude.com/brain-dump/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://blog.thatasiandude.com/brain-dump/master.md).

# Welcome to Kah Shin's Brain Dump of information

## Introduction 👋👋

Hi there! I am Kah Shin, a year 2 student at Singapore Polytechnic pursuing a Diploma in Applied AI & Analytics. I'm constantly on the lookout for new and improved digital blogging/note-taking technologies online. I love to explore and share anything about technology and coding. Through this GitBook, I hope to curate and share my personal experiences as well as share some technical know-how for everyone to reference.

## Projects 🤘

* Geekout 2021
  * [Mission Zero: Create an About me page](https://github.com/AngKS/GeekOut2021)
  * [Hackathon: Project Geekies](https://github.com/AngKS/geekoutHackathon)
* [Infinity Pacific Front-End](https://AngKS.github.io/InfinityPacific)

## Social Links

> Instagram: [@angks123](https://blog.thatasiandude.com/brain-dump/www.instagram.com/angks123)

> Linkedin: [@KahShinAng](https://blog.thatasiandude.com/brain-dump/www.linkedin.com/in/kahshinang)

> Mail: [helloKahShin@gmail.com](mailto:%20hellokahshin@gmail.com)

{% embed url="<https://www.github.com/angKS>" %}
Github Profile
{% endembed %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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://blog.thatasiandude.com/brain-dump/master.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.