Zichen Pan

Zichen Pan is a data engineering professional with extensive experience in data analytics and software engineering. Zichen began as a Research Assistant at Jilin University, contributing to biological sample classification and bioinformatics research. This role was followed by another Research Assistant position at Columbia University, where Zichen developed a deep learning pipeline for classifying HIV test images, achieving 100% accuracy. Zichen then served as a Data Engineer at Meta, progressing to Senior Data Engineer and ultimately Staff Data Engineer, focusing on advanced data engineering practices. Zichen earned a Master of Science in Data Science from Columbia University, graduating with a GPA of 3.87, and holds a Bachelor of Engineering in Computer Software Engineering from Jilin University, ranking first in a class of 320 with a GPA of 3.92.