Le Hou
Summary
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SeniorLe Hou is a Senior Staff Software Engineer based in Mountain View with over a decade of expertise in machine learning and deep learning, specializing in large language models and instruction tuning. At Google DeepMind he has been a core contributor to Gemini post-training across multiple major releases (1.0 through 2.5), building fundamental and horizontal recipes that scale model capabilities. His trajectory from PhD research to senior engineering roles at Google and DeepMind reflects a blend of rigorous research training and practical production engineering. He has hands-on experience across high-impact applied ML domains from ultra-high-resolution imaging to satellite segmentation, gained through internships and industry roles. Known for leading and co-leading instruction tuning efforts at Google, he couples technical depth with an emphasis on reproducible, production-ready model pipelines. Colleagues describe him as the kind of engineer who moves innovations from experimental code into robust post-training systems used at scale.
10 years of coding experience
Github Skills (8)
segmentation10
tensorflow9
machine-learning7
caffe6
deep-learning6
digital-pathology4
image-viewer3
pytorch1
Programming languages (3)
Github contributions (5)
SBU-BMI/quip_cnn_segmentation
Sep 2018 - Dec 2021
CNN based segmentation codes
Contributions:97 commits, 60 pushes, 2 tags in 3 years 3 months
segmentation
SBU-BMI/quip_classification
Dec 2018 - Dec 2019
Contributions:71 commits, 49 pushes in 1 year
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