1. Proficient in programming languages such as C++ and Python, image processing tools like OpenCV, VTK, PCL, and Halcon, and interface development using Qt, Visual Studio, CMake, etc.

2. Familiar with classic machine learning algorithms like LR, deep learning frameworks such as PyTorch, and TensorFlow, object detection algorithms like YOLO, image segmentation algorithms like UNet, tracking algorithms like SORT, and commonly used NLP models and techniques including text classification, named entity recognition, sentiment analysis, etc.