Fangjing Wu

Fangjing Wu is a highly skilled machine learning engineer with extensive experience in various roles across leading technology companies. Fangjing began a career as a Software Engineer Intern at Ericsson, developing an auto-test platform for 4G-LTE technology, and later contributed as a Data Science Intern at imec, focusing on lifestyle pattern recognition. Subsequent roles include a Software Engineer Intern position at Facebook, where Fangjing developed machine learning and deep learning models to enhance user protection, and a Machine Learning Engineer role at Baidu, optimizing algorithms for big data. Fangjing's expertise further expanded at Tencent, building a large-scale recommendation system, and is currently serving as a Staff Machine Learning Engineer at Meta, focusing on monetization ranking AI. With educational credentials from esteemed institutions, including a Master’s from Carnegie Mellon University and high academic achievements, Fangjing possesses a strong foundation in computer engineering, embedded systems, and informatics, along with proficiency in technologies such as Spark, Hadoop, and SQL.