About

Jia Li is a highly experienced Staff Software Engineer currently working at Uber's Michelangelo - Machine Learning Platform. With over 9 years of relevant experience, Jia has a strong background in software engineering and machine learning. Before joining Uber, Jia worked as a Software Engineer at Google's G+ ranking team, where she gained extensive experience in software development. She also worked as a Software Engineer Intern at Reunify, where she handled a scoring problem with Naive Bayes, SVM, and Linear Regression. Jia implemented MapReduce code to make the scoring process run on a Hadoop Cluster, reducing the running time by improving the data structure and reducing the data size transferred from mapper to reducer. She also implemented data cleaning and normalization processes for another classification problem, then selected the good features. Jia holds a Master of Science in Computer Science from the University of Southern California and a Bachelor of Engineering in Computer Software Engineering from Zhejiang University. During her studies, Jia gained a strong foundation in software engineering and machine learning, which has helped her excel in her career. Jia's technical skills include software engineering, senior software engineering, ML, Naive Bayes, SVM, normalization, MapReduce, and Hadoop. Jia's strong technical skills, combined with her extensive experience, make her an asset to any organization.