About

Xiangyuan Zhao is a highly skilled Staff Software Engineer with a specialization in Machine Learning at Samsung Electronics America. With over 5 years of relevant experience, Xiangyuan has a proven track record of delivering innovative solutions in the field of ML. Xiangyuan's expertise in ML is evident from his work at Samsung, where he has been responsible for designing and developing ML algorithms for various mobile applications. He has also worked on speech separation, speech enhancement, noise cancellation, and voice activity detection systems, using deep learning algorithms. Prior to his current role, Xiangyuan worked as a Deep Learning Intern at Conexant, where he set up a deep learning system for speech separation, speech enhancement, noise cancellation, and voice activity detection. He also designed a deep learning algorithm for speech separation on multi-channel speech and used long short-term memory (LSTM) recurrent neural networks (RNN) to improve the speech separation model's performance. Xiangyuan's educational background includes a Doctor of Philosophy (Ph.D.) in Electrical and Electronics Engineering from Texas Tech University, a Master's degree in Electrical and Electronics Engineering from Shanghai University, and a Bachelor's Degree in Physics, also from Shanghai University. Xiangyuan's technical expertise includes software engineering, ML, senior software engineering, corpus, deep learning, neural networks, mobile, and RNN. He is a highly motivated and dedicated professional who is passionate about exploring new technologies and finding innovative solutions to complex problems. Overall, Xiangyuan's extensive experience and expertise in ML, coupled with his educational background and technical skills, make him a valuable asset to any organization looking to innovate and stay ahead of the curve in the field of ML.