Zifan Pan is a full-stack developer with a decade of engineering experience, currently building global monetization APIs at TikTok and based in San Jose. He combines backend systems work—improving test coverage, framework migrations, and production automation—with frontend experience in Vue.js and Android, backed by a strong academic record from USC and Nanjing University. Past internships at eBay and TikTok show a knack for practical optimizations (e.g., memory-saving Batfish pipeline and test coverage boosts from 24% to 45%) and for shipping reliable tooling. He has researched learning-based traceability and information-retrieval bug localization, bringing an uncommon blend of ML-informed code analysis and production engineering. Colleagues value him for turning research insights into deployable solutions that streamline operations and developer workflows.
10 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering - BE, Software engineering, 4.31/5, Bachelor of Engineering - BE, Software engineering, 4.31/5 at 南京大学
Contributions:1 release, 68 pushes, 2 branches in 3 years 2 months
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