Lifeng Wei
Applied Scientist at Amazon
Bellevue, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolLifeng Wei is an Applied Scientist with a Ph.D. in Statistics from UC Davis and nine years of experience building ML systems for language and decision problems. He has driven production NLP solutions at Amazon—expanding a multilingual QABot to Japan and Germany, cutting false positive answer extraction by 90%, and improving data collection for better negatives and disambiguation. At Microsoft he bridged research and product by integrating Hugging Face training into Azure AutoML, optimizing metrics and experimenting with adversarial and contrastive methods. His research and internships show a blend of RL and generative NLP expertise, including β-VAE+BERT/GPT2 text compression, offline RL with data augmentation, and corpus-level similarity metrics. Based in Bellevue, WA, he leads team research direction and paper reading sessions, signaling both technical depth and mentorship. Less obvious: he combines rigorous statistical training with hands-on productionization, making him fluent at turning probabilistic ideas into scalable ML products.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at University of California, DavisBachelor's degree, Statistics, Bachelor's degree, Statistics at University of Science and Technology of China
Github Skills (52)
data-science10
machine-learning10
azure-machine-learning10
azure10
pytorch9
hill-climbing9
ml9
deep-q-network9
mixture-of-experts9
openai-gym9
ddpg9
cross-entropy9
dqn9
actor-critic9
ml-agents9
Programming languages (3)
Github contributions (5)
ZeratuuLL/Reinforcement-Learning
Oct 2018 - Nov 2019
Contributions:204 commits, 184 pushes, 1 branch in 1 year
ZeratuuLL/Natural-Language-Processing
Oct 2019 - Nov 2020
Contributions:71 commits, 66 pushes, 1 branch in 1 year
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