About

Jiacong (James) He is a highly skilled software engineer with a strong background in machine learning and deep learning. With almost a decade of relevant experience, Jiacong has worked with some of the biggest names in the tech industry, including Google and Medallia. Currently working at Google as a Software Engineer, Jiacong is responsible for developing cutting-edge technologies that utilize machine learning and natural language understanding. He has recently published a research paper on arXiv.org titled "A Simple and Effective Method for Cross-Lingual Named Entity Recognition," which demonstrates his expertise in the field. Prior to joining Google, Jiacong worked at Medallia as a Senior Research Scientist and Research Scientist. During his time at Medallia, he focused on developing customer embedding and behavior prediction models using machine learning and deep learning techniques. He also built an improved topic extraction system for large text datasets and created a customer satisfaction (NPS) predicting model, as well as a key driver recommendation system for NPS improvement. Jiacong holds a Master's degree in Computer Science from Carnegie Mellon University and a Bachelor's degree in Computer Software Engineering from Wuhan University. His educational background has provided him with a strong foundation in the field of technology and has enabled him to excel in his career. In addition to his impressive work experience and educational background, Jiacong possesses a range of technical skills, including software engineering, research, deep learning, and machine learning. His expertise in these areas has made him a valuable asset to any organization he has worked with. Overall, Jiacong is a highly skilled and experienced software engineer with a passion for developing innovative technologies that utilize machine learning and deep learning. His strong educational background and technical skills have enabled him to excel in his career, and he is a valuable asset to any organization he works with.