Cindy Y. Liu
About Cindy Y. Liu
Cindy Y. Liu is a Lead Solutions Engineer at Scale AI, specializing in developing solutions for enterprise customers using Generative AI. She has a diverse background in engineering and product management, with degrees from Hamilton College, New York University, and Imperial College London.
Current Role at Scale AI
Cindy Y. Liu serves as the Lead Solutions Engineer for the EMEA region at Scale AI. In this role, she develops solutions for enterprise customers utilizing Generative AI. She has been with the company since 2023, working in a hybrid capacity from London, England. Her focus is on leveraging advanced machine learning techniques to address client needs.
Education and Expertise
Cindy Y. Liu holds a Bachelor's degree in Interdisciplinary Studies from Hamilton College, where she studied from 2011 to 2013. She also completed a Master's Program in Urban Science and Informatics at New York University from 2015 to 2016. Most recently, she earned a Master of Science in Computing with a specialization in Artificial Intelligence and Machine Learning from Imperial College London in 2023. Her educational background supports her expertise in databases, programming languages, and machine learning frameworks.
Professional Background
Cindy Y. Liu has a diverse professional background that includes roles in engineering and product management. She began her career as a Research Assistant at the NYU Center for Urban Science & Progress in 2015. She later worked as a Software Developer focusing on Machine Learning at YOOBIC from 2016 to 2018. Liu held positions at Goldman Sachs, first as an Associate Software Engineer from 2018 to 2020 and then as Vice President, Software Engineer from 2021 to 2022. She also briefly worked as a Solutions Engineer at Stability AI in 2023.
Technical Skills and Tools
Cindy Y. Liu possesses a strong technical skill set that includes proficiency in various programming languages such as Python, Java, and JavaScript. She is experienced with cloud platforms including AWS and Azure. Liu utilizes advanced machine learning packages like PyTorch, LangChain, and TensorFlow in her projects. Additionally, she works with development tools such as Git, Docker, and Kubernetes, which are essential for software development and deployment.