Aiden Zhao
About Aiden Zhao
Aiden Zhao is a Research Engineer with a background in machine learning and data analysis. He has worked at various organizations, including Megagon Labs and GGV Capital, and holds a Master's degree in Computer Science from Georgia Institute of Technology.
Current Role at Megagon Labs
Aiden Zhao serves as a Research Engineer at Megagon Labs, a position he has held since 2022. In this role, he focuses on enhancing various engineering processes and contributes to the development of advanced machine learning models. His work includes deploying GitLab CI pipelines to improve the development workflow and streamlining AWS resource setup. Additionally, he has played a significant role in advancing model development for encoder-decoder architectures and strengthening infrastructure security within the organization.
Previous Experience at FlyHigh Group, Inc.
Before his current role, Aiden Zhao worked as a Machine Learning Engineer Intern at FlyHigh Group, Inc. in 2021 for one month. During this internship, he gained practical experience in machine learning applications, contributing to projects that required analytical skills and technical knowledge in the field.
Experience at GGV Capital
Aiden Zhao was employed as a Data Analyst at GGV Capital from 2018 to 2019. His role involved analyzing data to support investment decisions and business strategies. This experience provided him with a solid foundation in data analysis and its applications in the financial sector.
Education and Expertise
Aiden Zhao earned a Master of Science in Computer Science from Georgia Institute of Technology, where he studied from 2021 to 2023. He also holds a Bachelor of Arts in Economics from the University of California, Davis, obtained from 2013 to 2016. His educational background equips him with a diverse skill set that combines technical expertise in computer science with analytical skills from economics.
Research Assistant Role
In 2023, Aiden Zhao began working as a Research Assistant at Georgia Institute of Technology. This role allows him to apply his knowledge in a research setting, contributing to various projects and initiatives while working remotely. His involvement in research further complements his practical experience in engineering and data analysis.