Fei W
Senior Engineer, Machine Learning Research at Samsung Research America
United States
Summary
👤
Senior🎓
Top SchoolFei W is a Senior Machine Learning Research Engineer with a decade of experience building and optimizing NLP and speech systems for production, currently advancing on-device speech models, LLM fine-tuning, and dialogue/QA applications at Samsung Research America. Her background spans applied research roles at The AI Foundation and Johns Hopkins, where she worked on controlled text generation, multi-task learning, sentence representations, and model compression techniques such as quantization. Fei has a strong track record of turning research ideas into deployable systems—bridging knowledge graphs, question-answering, and generation pipelines to improve conversational capabilities. She combines deep academic training (MS from Johns Hopkins) with hands-on engineering across speech, vision, and embedded systems dating back to early work on humanoid-robot NLP and optical-flow obstacle avoidance. Colleagues describe her as collaborative and results-driven, able to move models from prototyping to efficient on-device inference. An underrated strength is her practical focus on compression and efficiency, enabling large-model capabilities in resource-constrained environments.
10 years of coding experience
4 years of employment as a software developer
Johns Hopkins UniversityBachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of Science and Technology of China
Chinese, English, Spanish
Github Skills (149)
python10
deep-learning10
gpu10
raise10
pre-trained-model10
sublime-text10
numpy10
ml10
neural-network10
transformer10
nlp10
json10
data-science10
classification10
text-classification10
Programming languages (6)
Github contributions (5)
felicitywang/TFMTL
Nov 2017 - Nov 2019
A TensorFlow Framework for Multi-Task Learning and Text Classification
Contributions:457 commits, 1 PR, 34 pushes in 2 years
nlpmulti-tasktensorflow-frameworkdeep-learningmulti-task-learning
ai-foundation/flair
Jul 2019 - Aug 2019
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Contributions:82 pushes, 1 branch in 1 month
nlpnatural-language-understandingartbertsimple-framework
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