AI Researcher • Machine Learning Engineer • Lecturer

I'm passionate about building lightweight AI systems, computer vision applications, and open-source tools for low-resource languages, with a focus on Burmese OCR and handwriting recognition.

📍 India

Languages

• Python
• SQL
• JavaScript
• C / C++
• Java

Machine Learning

• TensorFlow / Keras
• Scikit-learn
• Pandas
• NumPy
• OpenCV

Tools

• Git & GitHub
• Streamlit
• Hugging Face
• Kaggle
• Docker
• Linux

A lightweight CNN for Burmese handwritten digit recognition achieving over 99% accuracy while remaining extremely compact for deployment on resource-constrained devices.

Research on handwritten Burmese text recognition, dataset development, OCR benchmarking, and deep learning models for low-resource scripts.

Machine learning and data analysis projects covering prediction, visualization, feature engineering, and model evaluation.

Interactive ML applications built using Streamlit and modern web technologies.

• Burmese OCR
• Deep Learning
• Computer Vision
• Deployable AI Models
• Open-source AI Resources

• GitHub: https://github.com/AndrewMaung
• LinkedIn: https://www.linkedin.com/in/ah-maung-oo-890bb826a
• Portfolio: https://ahmaungoo.vercel.app

Building practical AI solutions that are lightweight, efficient, and accessible.