Yukun Feng
Data Scientist
Tokyo, Japan
Summary
👤
Senior🎓
Top SchoolYukun Feng is a data scientist based in Tokyo with 10 years of experience specializing in natural language processing and applied research-to-production work. He holds MEng and Doctor of Engineering degrees in NLP from Tokyo Institute of Technology and has interned and researched at Google Research, Amazon Alexa, and major Chinese tech firms where he focused on entity linking, knowledge-graph-enhanced BERT, speech language modeling, and task-oriented dialogue systems. Currently at Asurion, he applies his research background to real-world problems, bridging advanced NLP techniques with product needs. His resume reflects a rare continuity from academic doctoral work to industry deployments, showing both deep theoretical knowledge and practical engineering chops. Fluent in cross-cultural research environments, he brings particular strength in combining knowledge-graph methods with neural language models to improve entity and dialogue understanding.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at 北京语言大学Doctor of Engineering, Natural Language Processing, Doctor of Engineering, Natural Language Processing at Tokyo Institute of Technology
Github Skills (25)
python9
machine-learning9
tensorflow9
deep-learning9
neural-network8
data-science8
neural-machine-translation7
ml7
deep-neural-networks7
command-history7
machine-translation6
pytorch6
translation6
history4
scheme4
Programming languages (4)
Github contributions (5)
yukunfeng/env_config
Aug 2016 - May 2022
Contributions:2 commits, 254 pushes, 1 branch in 5 years 9 months
yukunfeng/nnfl
May 2016 - May 2018
Contributions:113 pushes, 1 branch in 2 years
deep-learningneural-networkframelabeling
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