Deep Learning-based Image Recognition System: A deep learning model for accurately recognizing objects in images was developed for target detection in autonomous driving systems.

Design and implementation of powerful NLP models such as text categorization, named entity recognition, and sentiment analysis. Familiarity with major NLP toolkits and libraries such as NLTK, spaCy, and Transformers.

Developing and deploying high-performance deep learning models to solve a variety of problems such as image classification, target detection, and semantic segmentation. Familiar with mainstream machine learning and deep learning frameworks, including TensorFlow, PyTorch, and Scikit-learn.