Hi, I’m Aung Kaung Pyae Paing — an AI Engineer & Researcher specializing in Medical AI, Large Language Models (LLMs), and production-ready machine learning systems.
🎓 BSc (First Class Honours) in Computing
🎓 MSc in Computer Science (AI Track) – GPA 3.72
📍 Based in Bangkok
I design and deploy AI systems that move beyond experimental notebooks — transforming research ideas into scalable, real-world applications. My work spans medical image classification, LLM-powered systems, and end-to-end AI deployment.
- Medical AI (Dermatology imaging & computer vision)
- Deep Learning for healthcare applications
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Applied NLP
- AI system deployment & optimization
Long-term vision:
- Contribute to impactful AI research
- Pursue a PhD abroad
- Build meaningful AI products with real-world impact
- Python
- SQL
- REST APIs
- Docker
- Git & CI workflows
- TensorFlow (GPU-focused)
- PyTorch
- Transformers & LLM Integration
- RAG Pipelines
- CNNs & Transfer Learning
- Scikit-learn
- OpenCV
- LangChain
- Hugging Face
- OpenAI API
- Model deployment & inference optimization
- Jupyter Notebook
- PyCharm
- VS Code
- Streamlit (basic)
- AWS (basic)
- Strengthening ML engineering depth (theory → production mastery)
- Publishing additional medical AI research
- Building high-quality AI portfolio projects
- Preparing for international research and industry opportunities
I’m open to:
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AI Research collaborations
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ML Engineering roles
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International PhD opportunities
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Innovative AI product development
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🔗 LinkedIn: https://www.linkedin.com/in/aung-kaung-pyae-paing-889b45221/
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💻 GitHub: https://github.com/aungkaungpyaepaing
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✍ Medium: https://medium.com/@kaungpyae.kp27
“Build systems that matter.”