Yingyi Wu
CG Concept Artist & Illustrator
Suzhou City, Jiangsu, China
Summary
👤
Senior🎓
Top SchoolYingyi Wu is a multidisciplinary technologist and CG concept artist with a decade of hands-on experience building production-grade Java and Python systems and researching deep learning for medical and remote sensing imaging. She has driven algorithmic R&D at UCLA and a CAS subsidiary, delivering high-accuracy pulmonary nodule detectors and remote-sensing YOLO/U-Net solutions while contributing to patented products and enterprise platforms. Since 2024 she’s pivoted to freelance CG concept design and Unreal Engine visualization, blending rigorous ML research with Moebius-inspired worldbuilding, 3D sculpting, and procedural scene work. Fluent in English and conversant in French, Yingyi publishes code and research openly on multiple GitHub accounts and shares regular art studies across ArtStation and social platforms. Her uncommon profile bridges production software engineering, biomedical imaging research, and cinematic CG art, enabling technical-driven visual narratives and data-informed creative workflows.
9 years of coding experience
13 years of employment as a software developer
Master of Engineering (M.Eng.), Crowdsourcing Algorithm, Machine Learning Algorithm, Deep Learning Algorithm, Computer Vision, Master of Engineering (M.Eng.), Crowdsourcing Algorithm, Machine Learning Algorithm, Deep Learning Algorithm, Computer Vision at Nanjing UniversitySuzhou High School of Jiangsu Province
English, French
Stackoverflow
21reputation
2kreached
0answers
1question
Github Skills (33)
java9
angularjs9
serverless8
elasticsearch8
react8
restful8
vue8
forms8
caffe8
nodejs8
search-engine8
opensearch7
data-management7
inspector7
machine-learning7
Programming languages (5)
Github contributions (5)
JenifferWuUCLA/pulmonary_nodules_AI_diagnosis
Jun 2017 - Sep 2017
Contributions:85 commits, 85 pushes, 1 branch in 3 months
JenifferWuUCLA/pulmonary-nodules-segmentation
Jun 2017 - Nov 2017
Contributions:268 commits, 263 pushes, 1 branch in 4 months
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