About

Bin Wang is a highly skilled Software Engineer with 3.35 years of relevant experience in the field. Currently working at Google, he has made significant contributions as an Assistant NLP, Learn and Adapt. He is the founding engineer of the first horizontal user profile platform in Assistant and has also developed a framework for reference resolution, including representation and metrics. Bin has also worked on argument disambiguation in various areas such as comms, media, and home automation. Before joining Google, Bin worked as a Software Engineer at JD.com where he participated in building an automatic speech recognition system from scratch based on Kaldi. He explored novel technologies such as GAN on speech denoising. At Google, he has also worked on News Intelligence and Ranking, where he was responsible for Spotlight News Detection. Bin holds a Master's degree in Computer Science from Rice University and a Bachelor's degree in Computer Science from Jilin University. He has a strong technical background and is proficient in various areas such as Software Engineering, NLP, GAN, and language models. Bin is a dedicated professional with a passion for solving complex problems. He is a quick learner and has a keen eye for detail. He has excellent communication skills and works well in a team environment. With his technical expertise and experience, Bin is a valuable asset to any organization.