Summary
Zhijia Chen is a research scientist and PhD candidate in Computer Science at Temple University with eight years of experience building scalable web data retrieval and ML systems. Currently at Meta, he specializes in mining sequential and structural patterns, NLP, and productionizing models—having improved relational closeness prediction AUC by 4% and engineered feature pipelines from Hive/Presto. He designed a global comment crawler that visits 3,000 news sites daily across 84 regions and refactored monoliths into horizontally scalable backends while reverse-engineering complex comment APIs. Comfortable across Python, C++, Java, PyTorch and SQL ecosystems, he blends rigorous research with hands-on backend engineering and deployment. Notable and less obvious: he pairs academic pattern-mining expertise with practical API-forensics to solve large-scale web retrieval problems.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer and Information Sciences, General, Doctor of Philosophy - PhD, Computer and Information Sciences, General at Temple University
Bachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at Harbin Institute of Technology