Qing Yuan
Machine Learning Engineer X at Postmates by Uber
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolQing Yuan is a machine learning engineer with 11 years of experience building production ML systems and data-driven products, currently applying those skills at Postmates by Uber in Mountain View. With graduate training in theoretical neuroscience and electrical engineering, Qing bridges rigorous dynamical modeling of recurrent neural networks with practical Python-based tooling (pandas, numpy, scikit-learn, TensorFlow/Keras). Past roles range from research on RNN memory dynamics at Columbia to hands-on product work at a startup that scored restaurant menus for vegetarian-friendliness, demonstrating a knack for translating complex models into consumer-facing features. Comfortable across the stack, Qing has implemented algorithms, Django web services, and even iOS clients, and brings both theoretical depth and product-oriented pragmatism to ML engineering problems.
11 years of coding experience
6 years of employment as a software developer
B.E., Electrical Engineering, B.E., Electrical Engineering at The Cooper Union for the Advancement of Science and ArtMaster of Philosophy - MPhil, Theoretical Neuroscience, Master of Philosophy - MPhil, Theoretical Neuroscience at Columbia University
Stackoverflow
51reputation
976reached
0answers
1question
Github Skills (13)
melanoma-detection10
biomedical-image-processing9
computer-vision9
deep-learning7
full-text-search6
thesaurus6
dictionary6
python3
camera3
kaggle3
tensorflow2
machine-learning2
salt2
Programming languages (1)
Github contributions (5)
yuanqing811/ISIC2018
Jun 2018 - Oct 2018
ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection
Contributions:1 release, 27 commits, 4 PRs in 4 months
deep-learningcomputer-visionbiomedical-image-processingmelanomalesion
yuanqing811/CID
Jan 2018 - Jan 2018
Contributions:34 commits, 1 PR, 7 pushes in 3 days
kagglepythondeep-learningcameracomputer-vision
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