Ke-Dong Yang Email & Phone Number

I graduated from the National Taiwan University of Science and Technology, Department of Electrical Engineering, AI Division (GPA 4.09/4.30). During my studies, I actively participated in various projects and internships, demonstrating excellent communication and problem-solving skills, and a passion for learning.During graduate school, I participated in an industry-university collaboration project with PChome, where I was responsible for enhancing search system performance and researching personalized search systems. I successfully trained a BERT-based semantic search model, which significantly improved the accuracy and relevance of search results. I gained practical experience from data collection and model training to verify deployment feasibility.My master's thesis focused on "Implementing a Rapidly Updatable Personalized Search Model on E-Commerce Platforms Using LightGCN," with an emphasis on how to train a deep learning-based recommender model on e-commerce platforms to understand user preferences, achieving a low-cost, rapidly updatable personalized search system. This approach successfully brought about a relative improvement of up to 40% in the @1 evaluation metric.I am currently seeking a software engineer, algorithm engineer, or AI engineer position. I hope to join an innovative team, engage more deeply in project development, understand different industry application modes, further enhance my professional skills and knowledge, and create more value for the company.