About

Hui Li is a highly skilled Senior Software Engineer with a wealth of experience in data infrastructure and data fluency. Currently working at Snowflake, Hui has a proven track record of delivering high-quality results in a variety of roles across the tech industry. Hui's experience includes a role as Research Data Scientist at Facebook, where they improved modeling of sensitive data protection to better match access permissions to internal business needs under the scope of the FTC order. They also built key metrics and dashboards to support customer communication and internal status tracking in systematic pipeline migration from Python 2 to Python 3, and surfaced bottleneck problems on reliability of pipelines by decomposing ad-hoc latency in execution and consolidating key metrics. Prior to this, Hui worked as a Data Science Consultant at Microsoft, where they performed analysis of compression efficiency in data storage on big data platforms of Microsoft Azure and Cosmos. They also collaborated with the storage engineering team to track user behavior, hardware performance, and algorithm efficiency. Hui has a Master of Science in Computer Sciences with a Machine Learning Specialization from the Georgia Institute of Technology, as well as a Certificate in Data Science from the University of Washington. They also hold a Doctor of Philosophy (Ph.D.) in Biochemistry, Microbiology, and Molecular Biology from Penn State University, and a Bachelor's Degree in Biochemistry and Molecular Biology from Peking University. Hui's technical skills include software engineering, Snowflake, infra, research science, Python, data science, big data, and Azure. With over 12 years of relevant experience, Hui is a highly accomplished professional who is committed to delivering exceptional results in every role they undertake.