Unan Anan
CEO at Unan Anan
São Paulo, Brazil
Summary
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SeniorUnan Anan is a CEO and hands-on software engineer based in São Paulo with eight years of experience across Windows, Linux, macOS, iOS and Android environments. He blends leadership with practical machine learning engineering, notably improving PFLD-based face alignment training and integrating ncnn inference on HiSilicon 35xx platforms. Comfortable across desktop and mobile stacks, he fixes hard edge cases like occlusion and wing loss in production models. Known on GitHub for pragmatic, efficiency-minded contributions (self-described as a "lazy layman"), he favors robust, maintainable solutions over flashy experiments.
8 years of coding experience
English, Hebrew
Github Skills (7)
computer-vision10
pytorch10
machine-learning10
ncnn10
python10
face-alignment10
arm7
Programming languages (7)
Github contributions (5)
hanson-young/nniefacelib
Mar 2020 - Apr 2020
nniefacelib是一个在海思35xx系列芯片上运行的人脸算法库
Role in this project:
ML Engineer
ML EngineerContributions:15 commits in 1 month
Contributions summary:Unan primarily focused on improving and releasing an existing PFLD (PFPLD) training code, which is related to face alignment. They contributed by integrating ncnn models and inference code. Further contributions include fixing bugs in relation to the hdface module and test.py. The user added a robust model and addressed issues related to wing loss and occlusion.
hisiliconnniepflpretinafacemobilefacenet
unanan/UNet_Nested4Tiny_Objects_Keypoints
Oct 2019 - Dec 2020
Contributions:10 commits, 37 pushes, 1 branch in 1 year 2 months
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