About

Nelson Cheng is a seasoned software engineer with expertise in Scala and Python. He is currently employed at Meta as a Software Engineer, where he is involved in Speech Data Synthesis. He uses text-to-speech and audio augmentation to generate synthetic speech data for training data and performance improvements of production models, such as for speech recognition and natural language understanding. Nelson is a graduate student in Computer Science at Georgia Tech, where he is pursuing his Master's degree. He is an AI and machine learning enthusiast and has worked as a graduate teaching assistant in the field of machine learning. Nelson has over 10 years of relevant experience, having previously worked at Facebook as a Software Engineer. At Facebook, he was involved in Speech Data Synthesis, where he used text-to-speech and audio augmentation to generate synthetic speech data for training data and performance improvements of production models, such as for speech recognition and natural language understanding. Nelson holds a Master's degree in Computer Science from Georgia Tech and a Bachelor of Science (B.S.) in Computer Science from The University of Texas at Austin. His tech stack includes Software Engineering, AI, ML, Python, Scala, and Research Scientist. In summary, Nelson Cheng is a highly skilled and experienced software engineer with a strong background in AI and machine learning. He is passionate about exploring new technologies and applying them to real-world problems. His expertise in Speech Data Synthesis makes him a valuable asset to any organization looking to improve their speech recognition and natural language understanding capabilities.