Update README.md

README.md

@@ -85,4 +85,20 @@ If you use this dataset in your research or project, please provide credit using
 Khant Sint Heinn (Kalix Louis). (2026). *Burmese-English Code-Mixed Corpus (1,111 Rows)* [Data set]. DatarrX. https://huggingface.co/datasets/DatarrX/Burmese-English-Code-Mixed-Corpus
 
 **Contact / Support:**
-For any inquiries or contributions, please contact through the [DatarrX Organization](https://huggingface.co/DatarrX) or [Kalix Louis's Profile](https://huggingface.co/kalixlouiis).
+
+For any inquiries or contributions, please contact through the [DatarrX Organization](https://huggingface.co/DatarrX) or [Kalix Louis's Profile](https://huggingface.co/kalixlouiis).
+
+---
+
+## About the Author
+
+**Khant Sint Heinn**, working under the name **Kalix Louis**, is a **Machine Learning Engineer focused on Natural Language Processing (NLP), data foundations, and open-source AI development**. His work is centered on improving support for the Burmese (Myanmar) language in modern AI systems by building high-quality datasets, practical tools, and scalable infrastructure for language technology.
+
+He is currently the **Lead Developer at DatarrX**, where he develops data pipelines, manages large-scale data collection workflows, and helps create open-source resources for researchers, developers, and organizations. His experience includes data engineering, web scripting, dataset curation, and building systems that support real-world machine learning applications.
+
+Khant Sint Heinn is especially interested in advancing low-resource languages and making AI more accessible to underrepresented communities. Through his open-source contributions, he works to strengthen the Burmese (Myanmar) tech ecosystem and provide reliable building blocks for future language models, search systems, and intelligent applications.
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+His goal is simple: to turn limited language resources into practical opportunities through clean data, useful tools, and community-driven innovation.
+
+**Connect with the Author:**  
+[GitHub](https://github.com/kalixlouiis) | [Hugging Face](https://huggingface.co/kalixlouiis) | [Kaggle](https://www.kaggle.com/organizations/kalixlouiis)