Xin Guo
Vice President, Applied AI ML Lead at JPMorgan Chase & Co.
Newark, Delaware, United States
Summary
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Senior🎓
Top SchoolXin Guo is a Vice President and Applied AI/ML lead at JPMorgan Chase with a decade of experience spanning machine learning research, deep learning, and embedded systems. He holds a PhD in Electrical and Computer Engineering with specialization in computer vision and has built scalable image, video and NLP models for production use in finance and industry. Xin combines hands-on expertise in Python/C/C++, TensorFlow and PyTorch with early-career embedded software experience that informs robust system design and deployment. At JPMorgan he leads CIB Machine Learning Center of Excellence initiatives, translating research into enterprise-grade ML solutions. Known for bridging academic rigor with practical engineering, he brings a track record of debugging complex systems and extracting high-level abstractions from large-scale data.
9 years of coding experience
11 years of employment as a software developer
Master of Science (M.S.), Electrical and Computer Engineering, 86.03/100, Master of Science (M.S.), Electrical and Computer Engineering, 86.03/100 at Beijing Jiaotong UniversityDoctor of Philosophy (PhD), Electrical and Computer Engineering, Computer Vision, Machine Learning, Doctor of Philosophy (PhD), Electrical and Computer Engineering, Computer Vision, Machine Learning at University of Delaware
English, Chinese, Japanese
Github Skills (41)
data-structure8
caffe8
face8
pose8
expressions8
machine-learning7
cpp7
computer-vision6
deep-learning6
theano6
mathematical6
python6
mathematical-expressions5
data-structures5
pose-estimation5
Programming languages (3)
Github contributions (5)
gxstudy/Graph-Neural-Networks-for-Image-Understanding-Based-on-Multiple-Cues
Jan 2020 - Jun 2020
Contributions:9 commits, 8 pushes, 1 branch in 5 months
gxstudy/EmotiW2018_Group-level_Emotion_Recognition
Jul 2018 - Nov 2018
Contributions:31 commits, 24 pushes, 1 branch in 4 months
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