About

Ankur Garg is a highly skilled Senior Software Engineer at Google with a passion for developing the next generation of conversational AI technologies. With almost 6 years of relevant experience in the field, Ankur has a deep understanding of machine learning and natural language processing models. Ankur's work at Google has been focused on the development of natural language understanding systems for the Google Assistant. He has been involved in research and development of machine learning models that allow users to interact with the Google Assistant in a more natural manner through language. Prior to his current role, Ankur worked as a Software Engineer II at Google, where he gained valuable experience working on natural language processing projects. He also worked as a Graduate Research Assistant at The University of Texas at Austin, where he was involved in devising models for script learning in natural language processing. Ankur holds a Master's degree in Computer Science from The University of Texas and a Bachelor's degree in Computer Science from the Indian Institute of Technology, Roorkee. He also completed his high school education at Mount Carmel School and Kailash Bahl DAV Sr. Secondary Public School. Ankur's technical expertise includes software engineering, machine learning, natural language processing, artificial intelligence, research science, and deep learning. He is highly enthusiastic about exploring the power of machine learning and deep learning models to develop systems that can interact with users in a more natural manner through language. Overall, Ankur Garg is a highly motivated and skilled Senior Software Engineer at Google with a passion for developing the next generation of conversational AI technologies. His deep understanding of machine learning and natural language processing models makes him a valuable asset to any team.