Jingyun Liu is an experienced mobility tax and people-advisory professional with 10+ years advising multinational employees, business travelers, ESOP arrangements and high-net-worth clients, currently blending tax strategy work at ByteDance with senior leadership at EY. Trained in policy economics at the University of Illinois Urbana-Champaign, Jingyun combines quantitative rigor with practical compliance experience gained across roles from staff accountant to director. Based in Beijing, she bridges global mobility policy and local implementation, helping organizations navigate cross-border payroll, residency and tax reporting complexities. An unusual technical footnote: she has contributed code to the widely used Apache Hadoop project, implementing file-system commands and improving rename/authentication behavior in federated environments, illustrating a rare mix of tax expertise and hands-on engineering familiarity. Colleagues value her for translating complex rules into operational processes that reduce risk and enable mobility at scale.
10 years of coding experience
硕士 政策经济学, 硕士 政策经济学 at University of Illinois Urbana-Champaign
Contributions:18 reviews, 5 commits, 12 PRs in 7 months
Contributions summary:Jingyun primarily contributed to adding and modifying file system commands within the Apache Hadoop project. Their work involved implementing a "concat" command, which concatenates existing source files into a target file. They also addressed authentication issues in the Router-based Federation (RBF) rename operations, ensuring proper permission checks and implementing file rename functionality, alongside modifications in the TOS (Tencent Cloud Object Storage) filesystem implementation. Further contributions can be inferred as they reverted a previous commit regarding user details and permission checking.
Contributions:99 pushes, 1 branch in 3 years 11 months
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