Anuj Goyal is an experienced Machine Learning Scientist, Engineer, and Manager with over 10 years of experience in the industry. He possesses a strong academic background in Machine Learning and Language Technologies from Carnegie Mellon University, where he studied for his MS in Computer Science. He also completed his BTech and MTech in Information Technology at ABV-Indian Institute of Information Technology and Management. Anuj's specialties include Machine Learning, Deep Learning, Natural Language Processing, Conversational Systems, Recommender Systems, Information Retrieval, Information Extraction, and Software Engineering. Anuj has worked with product and engineering teams to build and deploy Machine Learning systems to production. He has worked as a Senior Applied Scientist at Amazon Alexa AI, where he managed the team responsible for introducing new features of Alexa Conversations to market. At IFTTT, he served as a Senior Machine Learning Engineer, and his responsibility was to build a robust machine learning platform used by large consumer companies worldwide. At LinkedIn, he was an Applied Research Engineer in Machine Learning, and he worked on various projects that improved user recommendations on the platform. During his time at Carnegie Mellon University, he was a Graduate Research Assistant, where he worked on research projects that explored how to improve machine learning algorithms for natural language processing applications. He also interned at Microsoft Research and HTW Berlin as a Research Assistant.