About

Xiuqi Li is a highly skilled machine learning engineer with over 3 years of experience in the field. Currently, Xiuqi is employed at Twitter as a machine learning engineer, where he is responsible for developing and implementing machine learning models to improve the platform's user experience. Prior to his role at Twitter, Xiuqi was a PhD candidate at Brown University, where he conducted research in the field of machine learning. Xiuqi is a highly educated individual, having studied at some of the world's top universities. He completed his undergraduate degree at Tsinghua University in Beijing, China, where he studied computer science. He then went on to study at the Karlsruhe Institute of Technology (KIT) in Germany, where he gained valuable experience in the field of artificial intelligence. Finally, Xiuqi completed his PhD at Brown University in the United States, where he conducted research in the field of machine learning. Throughout his career, Xiuqi has gained extensive experience working with a variety of machine learning tools and technologies. His tech stack includes a wide range of machine learning frameworks and libraries, and he is highly skilled in developing and implementing machine learning models for a variety of applications. Xiuqi is a highly motivated individual who is passionate about his work. He is committed to staying up-to-date with the latest developments in the field of machine learning, and is constantly seeking out new challenges and opportunities to grow and develop his skills. With his extensive experience and deep knowledge of machine learning, Xiuqi is a valuable asset to any team working in this field.