Andrew Liu
About Andrew Liu
Andrew Liu is a Software Engineer specializing in AI models that integrate computer vision with other data modalities. He has experience working at notable companies such as Facebook, Asana, and Deloitte Consulting, and he has contributed to open-source projects on GitHub.
Work at ScaleAI
Andrew Liu currently serves as a Software Engineer at Scale AI, a position he has held since 2022. His work involves developing AI models that integrate computer vision with other data modalities. This role allows him to apply his expertise in artificial intelligence and contribute to innovative projects within the organization.
Previous Experience in Software Engineering
Before joining Scale AI, Andrew Liu gained valuable experience through various internships. He worked as a Software Engineer Intern at Asana in 2021 for three months in San Francisco, California. Additionally, he interned as a Data Engineer at Facebook in 2020 for three months in Menlo Park, California. His background includes a role as a Summer Analyst at Deloitte Consulting in 2019, where he focused on Applied Innovations & AI.
Research Experience at Ivey Business School
Andrew Liu worked as a Research Assistant at Ivey Business School at Western University in 2018. During this three-month tenure, he contributed to the Scotiabank Digital Banking Lab. This role provided him with insights into digital banking and research methodologies, further enhancing his analytical skills.
Education and Expertise
Andrew Liu studied at Western University, where he earned a Bachelor of Science in Computer Science from 2017 to 2022. He also attended Ivey Business School at Western University, achieving an Honours Business Administration degree from 2019 to 2022. His education has equipped him with a strong foundation in both technical and business disciplines, specializing in AI model development.
Contributions to Open Source and Competitions
Andrew Liu has contributed to open-source projects on GitHub, showcasing his expertise in computer vision and multimodal generative AI. He has also participated in hackathons and coding competitions, focusing on challenges related to artificial intelligence and machine learning, which further demonstrates his commitment to advancing his skills in the field.