Shiting Long is a research software engineer and current PhD student at KTH with nine years of experience building data transfer and cloud-storage solutions for large research infrastructures, most recently contributing to the Fenix Data Transfer Service within the Human Brain Project. Skilled in C/C++ and Python, she brings hands-on experience with OpenStack Swift, AAI services, and web integration from roles at Forschungszentrum Jülich, University of Tartu, and Aalto University. Her academic foundation spans international programs (SECCLO, Aalto, Tartu, Leiden, NTUST) and a BE in software engineering from Beijing Institute of Technology, reflecting a strong cross-cultural and interdisciplinary approach. Known as a quick learner who deliberately leaves her comfort zone, she combines research rigor with production-focused engineering to solve scalable data-movement challenges for scientific communities.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, Computer Software Engineering, Bachelor of Engineering - BE, Computer Software Engineering at 北京理工大学
Exchange student, Exchange student at National Taiwan University of Science and Technology
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at SECCLO Master's Programme in Security and Cloud Computing (Erasmus Mundus)
Master of Science - MS, Master of Science - MS at Aalto University
Exchange student, Computer Science, Exchange student, Computer Science at Leiden University
Master of Science - MS, Master of Science - MS at University of Tartu
High-performance file management over WebDAV / HTTP
Contributions:4 PRs, 17 pushes, 7 branches in 2 months
webdavperformancehigh-performancefile-management
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Shiting Long - PHD Student at KTH Royal Institute of Technology