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I am strongly interested in Natural Language Processing (NLP), particularly for low-resource languages. I have experience leveraging deep learning and transformer models to analyze text, extract meaningful cultural and social insights, and develop practical NLP solutions for real-world applications. I am currently pursuing a Bachelor of Computer Science at the University of Computer Studies, Yangon, with a 3.9/4.0 GPA. I developed MyFood QA, the first multimodal benchmark for Myanmar cuisine, featuring 20 dishes and 2,485 QA pairs for text and image reasoning. I curated and validated data with native Burmese speakers to ensure cultural and factual accuracy, evaluated vision-language models, and established a foundational resource for multimodal AI research in low-resource, culturally relevant domains.…I am strongly interested in Natural Language Processing (NLP), particularly for low-resource languages. I have experience leveraging deep learning and transformer models to analyze text, extract meaningful cultural and social insights, and develop practical NLP solutions for real-world applications. I am currently pursuing a Bachelor of Computer Science at the University of Computer Studies, Yangon, with a 3.9/4.0 GPA. I developed MyFood QA, the first multimodal benchmark for Myanmar cuisine, featuring 20 dishes and 2,485 QA pairs for text and image reasoning. I curated and validated data with native Burmese speakers to ensure cultural and factual accuracy, evaluated vision-language models, and established a foundational resource for multimodal AI research in low-resource, culturally relevant domains.

Lynn Myat Bhone

Data Scientist, AI Engineer, Programmer, +2

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I am strongly interested in Natural Language Processing (NLP), particularly for low-resource languages. I have experience leveraging deep learning and transformer models to analyze text, extract meaningful cultural and social insights, and develop practical NLP solutions for real-world applications. I am currently pursuing a Bachelor of Computer Science at the University of Computer Studies, Yangon, with a 3.9/4.0 GPA. I developed MyFood QA, the first multimodal benchmark for Myanmar cuisine, featuring 20 dishes and 2,485 QA pairs for text and image reasoning. I curated and validated data with native Burmese speakers to ensure cultural and factual accuracy, evaluated vision-language models, and established a foundational resource for multimodal AI research in low-resource, culturally relevant domains.…I am strongly interested in Natural Language Processing (NLP), particularly for low-resource languages. I have experience leveraging deep learning and transformer models to analyze text, extract meaningful cultural and social insights, and develop practical NLP solutions for real-world applications. I am currently pursuing a Bachelor of Computer Science at the University of Computer Studies, Yangon, with a 3.9/4.0 GPA. I developed MyFood QA, the first multimodal benchmark for Myanmar cuisine, featuring 20 dishes and 2,485 QA pairs for text and image reasoning. I curated and validated data with native Burmese speakers to ensure cultural and factual accuracy, evaluated vision-language models, and established a foundational resource for multimodal AI research in low-resource, culturally relevant domains.

Available to hire

I am strongly interested in Natural Language Processing (NLP), particularly for low-resource languages. I have experience leveraging deep learning and transformer models to analyze text, extract meaningful cultural and social insights, and develop practical NLP solutions for real-world applications.

I am currently pursuing a Bachelor of Computer Science at the University of Computer Studies, Yangon, with a 3.9/4.0 GPA. I developed MyFood QA, the first multimodal benchmark for Myanmar cuisine, featuring 20 dishes and 2,485 QA pairs for text and image reasoning. I curated and validated data with native Burmese speakers to ensure cultural and factual accuracy, evaluated vision-language models, and established a foundational resource for multimodal AI research in low-resource, culturally relevant domains.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Language

Burmese

Fluent

Work Experience

Researcher at Language Understanding Lab, Research and Development

July 1, 2022 - Present

Developed MyFood QA, the first multimodal benchmark for Myanmar cuisine, featuring 20 dishes and 2,485 QA pairs for text and image reasoning. Curated and validated data with native Burmese speakers to ensure cultural and factual accuracy. Evaluated vision-language models, identifying limitations in image-based understanding. Established a foundational resource for multimodal AI research in low-resource, culturally relevant domains.