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2. **Named Entity Recognition (NER):** Training models to extract quantities and measurements.
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3. **Linguistic Research:** Studying the usage of classifiers in different Burmese contexts.
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## Contact
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Created by **Kalix Louis (Khant Sint Heinn)**.
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For any inquiries or contributions, please reach out via Hugging Face profile.
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2. **Named Entity Recognition (NER):** Training models to extract quantities and measurements.
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3. **Linguistic Research:** Studying the usage of classifiers in different Burmese contexts.
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## About the Author
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**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.
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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.
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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.
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**Connect with the Author:**
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[GitHub](https://github.com/kalixlouiis) | [Hugging Face](https://huggingface.co/kalixlouiis) | [Kaggle](https://www.kaggle.com/organizations/kalixlouiis)
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## Contact
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Created by **Kalix Louis (Khant Sint Heinn)**.
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For any inquiries or contributions, please reach out via Hugging Face profile.
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