Jie Jiang
Senior Language Technology Specialist at LanguageLine Solutions UK
Manchester, England, United Kingdom
Summary
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Senior🎓
Top SchoolJie Jiang is a Senior Language Technology Specialist based in Manchester with 12 years’ experience applying linguistics, multilingual systems and pattern-recognition research to production software. He holds an EngD/PhD-level background in Pattern Recognition and Intelligent Systems from the Chinese Academy of Sciences and started his career in research as a postdoc at CNGL before moving into industry at LanguageLine Solutions UK. Jie combines deep linguistic knowledge with practical engineering skills—evidenced by his contributions to the Moses statistical machine translation project where he improved Windows build and backend compatibility. He is adept at bridging research and product needs, especially for multilingual pipelines and language-model tooling, and often focuses on pragmatic engineering fixes that enable cross-platform deployment. Quietly interdisciplinary, he leverages both translation expertise and build-system know-how to make complex language technology reliable in real-world environments.
12 years of coding experience
2 years of employment as a software developer
B.S., Electronic Engineering and Information Science, B.S., Electronic Engineering and Information Science at University of Science and Technology of ChinaEngD, Pattern Recognition and Intelligent Systems, EngD, Pattern Recognition and Intelligent Systems at Institute of Automation, Chinese Academy of Sciences
Github Skills (9)
build-system10
c-language10
cprogramming-language10
ws-api9
winapi9
wp-api9
file-handling8
machine-translation7
cmake7
Programming languages (3)
Github contributions (5)
moses-smt/mosesdecoder
Dec 2013 - Jan 2014
Moses, the machine translation system
Role in this project:
Back-end Developer & Build Engineer
Back-end Developer & Build EngineerContributions:7 commits in 29 days
Contributions summary:Jie primarily contributed to the build process and compatibility of the Moses machine translation system with the Windows environment. They modified code related to file handling, temporary directory creation, and build configurations, specifically to accommodate Windows-specific APIs and build tools. Additionally, the user's commits include adjustments to the language model building process, integrating changes for Windows compatibility, and merging updates related to build systems. These contributions suggest involvement in backend aspects related to build and compilation for a specific platform.
i18nmachine-translationtranslationlocalizationmoses
jiejiang/flask-oauthlib
Apr 2015 - Apr 2022
Contributions:2 pushes, 1 branch in 7 years 1 month
oauth2flaskpython
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