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Kai Kang is listed as Staff Machine Learning Engineer and Manager at Apple at Apple, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at apple.com and a matched LinkedIn profile for Kai Kang.
Kai Kang previously worked as Staff Machine Learning Engineer and Manager, Video Engineering at Apple and Machine Learning Manager, Video Engineering at Apple. Kai Kang holds Doctor Of Philosophy (Phd), Electronic Engineering from The Chinese University Of Hong Kong.
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AeroLeads found 1 current-domain work email signal for Kai Kang. Compare company email patterns before reaching out.
Kai Kang is a Staff Machine Learning Engineer and Manager at Apple at Apple. They possess expertise in deep learning, computer vision, artificial neural networks, object detection, image segmentation and 10 more skills.
Listed skills include Deep Learning, Computer Vision, Artificial Neural Networks, Object Detection, and 11 others.
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Cupertino, California, Us
- System architect for RoomPlan framework: https://developer.apple.com/augmented-reality/roomplan/- Engineering manager for RoomPlan system / pipeline team, responsible for API design / implementation, system integration, window / door detection algorithm and data support
Cupertino, California, Us
Directly responsible for Face ID antispoofing algorithms from iOS 11.3 to iOS 12.1 on iPhone X, iPhone XS, XS Max, XR and the all new 2018 iPad Pro.
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Kai Kang works for Apple.
Kai Kang is listed as Staff Machine Learning Engineer and Manager at Apple at Apple.
AeroLeads has found 1 work email signal at @apple.com for Kai Kang at Apple.
Kai Kang is based in San Francisco Bay Area, United States while working with Apple.
Kai Kang has worked for Apple.
You can use AeroLeads to view verified contact signals for Kai Kang at Apple, including work email, phone, and LinkedIn data when available.
Kai Kang holds Doctor Of Philosophy (Phd), Electronic Engineering from The Chinese University Of Hong Kong.
Kai Kang is listed with skills including Deep Learning, Computer Vision, Artificial Neural Networks, Object Detection, Image Segmentation, Crowd Analysis, Programming, and C++.
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