- Machine Learning, Deep learning AI Developing(TensorFlow, Keras, Theano, Scikit-learn, PyTorch
Seaborn, ...)
- Cognitive AI ( Facial recognition, Optical character recognition, Pose estimation, Content-based image
retrieval, Shape Recognition Technology, Tracking )
- Application of AI (Trading of cryptocurrency (BTC, ETH, ...), Prediction of Soccer result, Poker
Prediction, Recommending nutritious plate ... )
- Created a RESTful back-end using Node.js and MongoDB.
- Implemented a feature to convert user notes to PDF and image files.
- Mentored and trained engineers.
- Deployed the app to an Amazon EC2 instance.
- Managed the project and release.
- Won a prize at a coding competition held in Beijing and was scouted by NQ Mobile as a part-time
developer.
- Developed several stand-alone applications using Qt, Java, and JavaScript that were related to the
finance industry.
- Worked as a back-end developer using Node.js and Java Spring.
- Developed a parsing framework for a data model for a big Web project.
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