Machine Learning Developer
I major in machine learning, deep learning and related frameworks such as Keras. My research focuses on object classification as well as time series forecasting. Besides, I also develop desktop/mobile/web applications to use deep learning models.
Tensorflow, .NET, Keras
Numpy, Pandas, OpenCV, Node.JS, WebGL
Docket, Kubernates, AWS, Google Cloud
SQLlite, MySQL, MongoDB
Age/Emotion Recognition Application
Detect face from live camera/video with 5 emotions and age
This is based on deep-learning model. Faces are detected with a pre-trained models from dlib/OpenCV. Detected faces are transformed to get emotions and age with sex.
Automatic License Plate Recognition
Detects vehicle license plates from CCTV stream.
- About 60k car license plates were collected to train CNN model.
- QT5.8 was used for GUI.
Predicts the bitcoin price based on past time series data.
- Based on XGBoost and DeepQ neural network.
- Implemented with Tensorflow-js.
Jun 2013 - Present
- Desktop application development based on C/C++/QT
- Image processing applications based on OpenCV.
- Artificial intelligence models based on Keras.
- Trading bots on NinjaTrader/MetaTrader/NiceHash.
- Scrapying from website.
- Mobile/Web application development
- MySQL management
ShangHai JiaoTong University
Apr 2007 - Jun 2011
Bachelor Degree on Computer Science
Jan 2019 - Permanent