Anthony Chen
About Anthony Chen
Anthony Chen is a Machine Learning Research Engineer at Scale AI, specializing in Large Language Models. He has a diverse background in machine learning and artificial intelligence, having worked at notable organizations such as Amazon Web Services and SIFT.
Current Role at Scale AI
Anthony Chen serves as a Machine Learning Research Engineer at Scale AI since 2023. In this role, he focuses on building Large Language Models, which is a significant area of expertise for him. His contributions are aimed at advancing the capabilities of AI technologies within the organization.
Previous Experience at Amazon Web Services
Anthony Chen worked at Amazon Web Services (AWS) in two capacities. He was a Machine Learning Associate from 2019 to 2020 for one year in the Washington D.C. Metro Area. Following this, he served as a Data Scientist / Machine Learning Engineer from 2020 to 2023 for three years. His experience at AWS involved developing machine learning solutions and enhancing AI functionalities.
Internship Experience in Machine Learning
Anthony Chen has held several internships focused on machine learning. He worked as an NLP/ML Research Intern at SIFT (Smart Information Flow Technologies) for seven months in 2019 in the Greater Minneapolis-St. Paul Area. Additionally, he was an Artificial Intelligence and Machine Learning R&D Intern at Optum in 2018 for two months in Eden Prairie, Minnesota.
Educational Background in Computer Science
Anthony Chen studied at the University of Minnesota, where he earned a Bachelor of Science degree in Computer Science. His academic background provided a foundation for his career in machine learning and artificial intelligence.
Teaching and Research Roles
Anthony Chen has experience in educational roles, having served as a Computer Science Instructor at the Center for Academic Excellence for one month in 2015. He also worked as an Undergraduate Teaching Assistant and an Undergraduate Research Assistant at the University of Minnesota-Twin Cities from 2018 to 2019, focusing on Swarm Robotics.