I am Ms. Than Than Swe from Myanmar, with over six years of experience in data analytics, data governance, data visualization, predictive modeling, artificial intelligence, and software development. My professional background combines expertise in AI engineering, computer vision, machine learning, and data-driven application development across both research and industry environments.
- Python
- SQL
- C/C++ (Basic)
- PyTorch
- TensorFlow
- Deep Learning
- Computer Vision
- Predictive Modeling
- Pandas
- Power BI
- Tableau
- Google Data Studio
- PostgreSQL
- MS SQL Server
- AWS EC2
- SageMaker
- Docker
- CUDA
- GitHub Actions
- MLOps
I am an AI Engineer and Computer Vision Specialist with over six years of experience in artificial intelligence, machine learning, data analytics, and software engineering. My expertise includes predictive modeling, deep learning, computer vision, data analytics, and scalable AI system development.
I have hands-on experience developing and deploying AI models for image recognition, object detection, classification, and tracking using both RGB and grayscale datasets for classification and regression tasks. My technical background also includes data preprocessing, feature engineering, model optimization, and AI pipeline development for real-world industrial applications.
In addition to AI development, I have strong experience in software engineering, database systems, and distributed enterprise applications, enabling me to build robust, scalable, and production-ready AI solutions. I am proficient in technologies such as Python, PyTorch, TensorFlow, PostgreSQL, Docker, CUDA, AWS cloud services, and MLOps workflows.
I have conducted research at Seoul National University of Science and Technology and Chung-Ang University in South Korea, where I explored advanced AI methodologies and contributed to research-driven innovation in computer vision and machine learning.
Currently, my work focuses on AI applications involving sensor data, tracking systems, intelligent detection, and real-time analytics in dynamic environments.
