Bowen Yao

Background

About Bowen Yao

Innovative computer vision developer with 1 year of hands-on work experience and 3 years of research experience in developing advanced algorithms for object recognition, image segmentation, and anomaly detection. Specializing in machine learning and defect detection, with expertise in implementing state-of-the-art CNN models like YOLO (v5, v8, v10), integrating anomaly detection methods like PatchCore, and optimizing GPU inference using C++ and TensorRT. Proficient in designing, developing, and optimizing end-to-end detection pipelines, including data acquisition, preprocessing, model training, inference, and deployment, ensuring robust and scalable solutions. Committed to advancing software development and image analysis techniques to deliver impactful, real-world results.