Vincent Chen
Applied Scientist II at Amazon
Bellevue, Washington, United States
Summary
👤
Senior🎓
Top SchoolVincent Chen is an Applied Scientist with 10 years of experience building large-scale machine learning and computer vision systems, currently working on GenAI for SmartHome at Alexa+. He specializes in image recommendation, large-scale vector search, and image classification, having shipped ranking and collaborative filtering solutions that improved engagement for millions of daily users. Prior roles at Microsoft and Bing Visual Search reflect a strong production focus—designing pipelines and rankers for consumer and enterprise visual search features. Trained in systems engineering (Cornell M.Eng.) with an electrical engineering background, he blends rigorous research experience in deep learning with hands-on systems and hardware-rooted problem solving. Vincent’s profile suggests a knack for turning research into scalable products and a continued interest in applying AI to real-world UX challenges.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Applied Science (B.A.Sc.) Electrical and Electronics Engineering, Bachelor of Applied Science (B.A.Sc.) Electrical and Electronics Engineering at The University of British ColumbiaMaster of Engineering (M.Eng.) Systems Engineering, Master of Engineering (M.Eng.) Systems Engineering at Cornell University
English, Chinese, Spanish, Chinese
Github Skills (18)
bayesian8
mining8
bayesian-inference6
density-estimation6
python6
probabilistic5
machine-learning5
probabilistic-programming5
pytorch5
variational-inference4
data-science4
data-mining4
deep-learning4
probabilistic-models4
probabilistic-graphical-models3
Programming languages (1)
Github contributions (5)
vincent6606/ORIE4741-Airbnb-project
Sep 2016 - Jan 2017
Contributions:140 commits, 1 PR, 136 pushes in 3 months
studyingpythonminingdata-scienceairbnb
vincent6606/MbientLab-HRI
Oct 2016 - Jan 2017
Contributions:15 pushes, 1 branch in 2 months
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