Xu Liang
NLP Researcher at Money Forward, Inc.
Tokyo, Japan
Summary
🤩
Rockstar🎓
Top SchoolXu Liang is an NLP researcher and engineer with 11 years of experience building production-ready language solutions, currently developing RAG-based recommendation systems at Money Forward in Tokyo. He combines hands-on model building (ML/DL), prompt engineering, and practical LLM research with a strong track record in information extraction, relation extraction, and RDF/knowledge-graph construction. A prolific OSS author, he has published tools like JCLdic, SeqAL, and SegAL and contributed front-end improvements to the widely used doccano annotation tool. Fluent in Chinese, Japanese, and English, he pairs technical depth with data storytelling and visualization skills to turn complex analyses into actionable reports. Notably, his work on applying OpenAI models to new business workflows led to validated RAG prototypes and patentable product ideas.
11 years of coding experience
6 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Waseda UniversityBachelor's Degree, Chemical Engineering, Bachelor's Degree, Chemical Engineering at Dalian University
japanese (n1), english (toeic 940, toefl 97), Chinese
Stackoverflow
331reputation
18kreached
2answers
5questions
Github Skills (25)
javascript10
python10
css10
pandas10
time-series10
vuejs310
front-end-development10
data-cleaning10
vuejs210
vue10
vue-jsx10
data-analysis10
mysql9
annotations9
redis9
Programming languages (13)
Github contributions (5)
Show-Me-the-Code/python
Oct 2016 - Nov 2016
Show Me the Code Python version.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:13 commits, 10 PRs in 1 month
Contributions summary:Xu primarily focused on solving introductory programming problems, showing a proficiency in basic Python concepts. They implemented solutions for a few simple coding challenges, including generating activation codes and resizing images. Further contributions included integrating and experimenting with database technologies such as MySQL and Redis to store generated data.
python
doccano/doccano
Nov 2018 - Mar 2019
Open source annotation tool for machine learning practitioners.
Role in this project:Front-end Developer
Front-end DeveloperContributions:33 commits, 29 PRs, 3 pushes in 4 months
Contributions summary:Xu primarily focused on front-end development within the `doccano/doccano` repository, a data annotation tool. Their contributions involved debugging and improving the user interface, especially in the sequence labeling component. These changes include addressing issues related to annotation behavior, the display of text, and adding download functionality. They also updated CSS and JavaScript files, reflecting a focus on UI/UX improvements and feature enhancements.
machine-learningnatural-language-processingannotation-toolpythondatasets
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