Renee S. Liu
About Renee S. Liu
Renee S. Liu is a Solutions Engineer with extensive experience in applied machine learning and a strong academic background in economics and mathematics. She has worked at various organizations, including Scale AI and Bigeye, and has completed multiple advanced studies in machine learning and data engineering.
Current Role at ScaleAI
Renee S. Liu currently serves as a Solutions Engineer at Scale AI, a position she has held since 2022. In this role, she focuses on building applied machine learning solutions for clients. Her work emphasizes a comprehensive understanding of technology stacks and user requirements, enabling her to provide tailored solutions.
Previous Experience in Engineering Roles
Prior to her current position, Liu worked as a Solutions Engineer at Xplenty from 2020 to 2021 and at Bigeye in 2022. She also held a role as a Sales Engineer at Bigeye from 2021 to 2022. These positions allowed her to develop expertise in client solutions and machine learning applications.
Educational Background
Renee Liu has a diverse educational background. She earned a Bachelor's degree in Mathematics from the University of Nevada-Las Vegas. Additionally, she completed a Master's degree in Economics at the University of California, Davis. Liu has also pursued various nanodegrees and certifications from Udacity, including Machine Learning, Data Streaming, and Data Scientist Nanodegree.
Research and Teaching Experience
Liu has significant academic experience, having worked as a Graduate Research Assistant and Graduate Teaching Assistant at the University of California, Davis. Her teaching role spanned three years from 2016 to 2019, where she contributed to the education of students in economics and related fields.
Specialized Training in Machine Learning
Renee Liu has completed extensive training in machine learning and data science. She achieved a Machine Learning Nanodegree and a Deep Learning specialization through Udacity and Deeplearning.ai, respectively. Her training also includes a Machine Learning DevOps Engineer certification, which she completed in 2023.