Quchen Fu
Applied Scientist II at Amazon
Greater Seattle Area United States
Summary
👤
Senior🎓
Top SchoolQuchen Fu is an Applied Scientist with 8 years of experience bridging deep learning research and production systems, currently working on efficient ads retrieval at Amazon after contributing to speech and LLM projects at Microsoft. He holds a Ph.D. in Computer Science from Vanderbilt and an MS from CMU, and his research wins include a first-place NeurIPS NLC2CMD machine translation system and a widely cited prompt engineering paper featured in Forbes. Quchen has a strong track record of model compression and deployment—e.g., shrinking a WavLM-based interruption detection model from 220MB to 9.3MB for client-side use—and has built tooling to profile and optimize ML performance at Intel. Comfortable across backend engineering and applied NLP/ML, he blends academic rigor with practical optimization skills to productionize cutting-edge models.
8 years of coding experience
2 years of employment as a software developer
Summer Camp, Summer Camp at University of California, BerkeleyUniversity of California, IrvineResearch Intern, Research Intern at University of HoustonMaster's degree, Master's degree at Carnegie Mellon UniversityDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Vanderbilt University
Github Skills (72)
openai-api10
robotics10
chatgpt10
api10
openai10
text-to-image9
python9
machine-learning9
audio8
prompt-tuning8
few-shot-learning8
racing8
speech-processing7
rover7
prompt7
Programming languages (6)
Github contributions (5)
magnumresearchgroup/Fastaudio
Sep 2021 - Jan 2022
Contributions:28 commits, 30 pushes, 1 branch in 4 months
magnumresearchgroup/Magnum-NLC2CMD
Dec 2020 - Dec 2021
Contributions:7 commits, 14 pushes in 1 year
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