Douglas Nakajima is a seasoned international tax director with 18+ years in senior leadership roles and over four decades of experience advising U.S. and multinational clients on cross-border transactions, transfer pricing, treaty interpretation, and repatriation planning. Based in Philadelphia, he combines legal training (J.D. and LL.M. in Taxation) with practical in-house and firm-side experience, including restructuring work for a Fortune 100 company and long-standing collaboration with foreign tax advisors to build low-exposure global structures. As Chair of the International Tax Collaboration Group of LEA Global and a director following CBIZ’s acquisition of Marcum, he brings both technical depth and a global network that supports complex, multijurisdictional solutions. Unusually for a tax leader, he also contributes to open-source software—tinkering with developer tooling and feed parsing libraries—revealing a hands-on, detail-oriented problem solver who enjoys practical engineering challenges alongside tax strategy.
18 years of coding experience
19 years of employment as a software developer
LL.M., Taxation, LL.M., Taxation at Villanova University Charles Widger School of Law
J.D., J.D. at Villanova University School of Law
B.A., English, Political Science, B.A., English, Political Science at University of Pennsylvania
Contributions summary:Douglas primarily focused on improving the behavior and functionality of the `fakefs` library, a fake filesystem for testing. Their contributions include fixing issues with file copying, correcting directory and file checks, and implementing missing methods like `File#<<` and `File#close`. Furthermore, the user added tests and a verification script to ensure the completeness and accuracy of the `fakefs` implementation.
Contributions summary:Douglas primarily refactored and improved the `update_from_feed` functionality, suggesting a focus on the core feed parsing logic. Their work included modifying the `FeedUtilities` to enhance the update process and fix entries logic. Furthermore, the user implemented changes related to header parsing within the `Feed` class to improve data extraction.
rssparsingrss-parserfeedparser
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