Chi-liang Liu
Machine Learning Engineer at Kotoba Technologies, Inc.
Tokyo, Japan
Summary
👤
Senior🎓
Top SchoolChi-liang Liu is a machine learning engineer with 8 years of experience specializing in spoken language understanding, question answering, and multilingual NLP. He combines academic depth from a master's at National Taiwan University with industry R&D stints at Meta, Amazon, and startups, and currently applies his expertise at Kotoba Technologies in Tokyo. Chi-liang has contributed to the widely used Hugging Face Transformers library, improving SQuAD QA examples and unifying BART encoder interfaces—work that highlights both practical engineering and research-oriented rigor. His background bridges applied research and production deployment, with a niche ability to translate question-answering research into robust tooling for multilingual applications.
8 years of coding experience
3 years of employment as a software developer
Master's degree, Electrical, Electronics and Communications Engineering, Master's degree, Electrical, Electronics and Communications Engineering at National Taiwan University
Stackoverflow
1reputation
0reached
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Github Skills (9)
pytorch10
machine-learning10
transformer10
nlp10
python10
deeplearning-ai9
deep-learning9
language-model8
hub7
Programming languages (7)
Github contributions (5)
huggingface/transformers
Jan 2019 - Oct 2021
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Role in this project:
ML Engineer
ML EngineerContributions:5 commits, 5 PRs, 19 comments in 2 years 9 months
Contributions summary:Chi-liang made several contributions related to the SQuAD (Question Answering) example within the Hugging Face Transformers library. They modified the `run_squad.py` and `run_squad2.py` files, merging their functionalities. The user also fixed an error related to the `na_prob_file` and implemented a conditional saving mechanism for the trained model. Furthermore, they added methods to `BartEncoder` to unify its interface.
pythonbertspeech-recognitionstate-of-the-artflax
ntu-spml-lab/artificial-reading-comprehension-datasets
Aug 2019 - Jul 2020
Contributions:2 commits, 1 push in 10 months
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