Minghan Xu is a seasoned Quantitative Engineer at Meta, bringing over six years of specialized experience in data modeling and analytics to enhance planning and operational excellence within the tech industry. Currently, Minghan plays a pivotal role in the Production Engineering team, focusing on Networking...
Minghan Xu is a seasoned Quantitative Engineer at Meta, bringing over six years of specialized experience in data modeling and analytics to enhance planning and operational excellence within the tech industry. Currently, Minghan plays a pivotal role in the Production Engineering team, focusing on Networking and Traffic. His expertise is particularly evident in his work on the Edge Network Traffic Forecast project, where he develops and builds sophisticated systems to accurately forecast, monitor, and report on global Content Delivery Network (CDN) traffic. This project spans over 220 countries, integrates data from more than 20 data centers, and utilizes over 80 Points of Presence (PoPs), showcasing his ability to handle complex, large-scale systems using tools such as Python and Presto.
In addition to traffic forecasting, Minghan is also involved in Capacity Engineering, where he designs systems to efficiently process and store constrained resources. His proficiency in programming languages like Java and R, combined with his analytical skills in Microsoft Excel and Tableau, allows him to create reliable algorithms that drive data-driven decision-making. Minghan's passion for building scalable systems is complemented by his strong project management capabilities, enabling him to lead cross-functional teams effectively. As a forward-thinking engineer, he continuously seeks innovative solutions to optimize network performance and enhance user experiences, positioning himself as a key contributor to Meta's mission of connecting the world through technology.
