Eric Sheng
Quantitative Analyst
Xuhui District, Shanghai, China
Summary
👤
Senior🎓
Top SchoolEric Sheng is a quantitative analyst and deep learning engineer with eight years of experience building and deploying computer vision models and compression toolchains across industry leaders like OPPO, NVIDIA, and XPENG. He combines low-level C++ and CUDA optimization expertise with research-driven work in neural network compression and practical deployment on edge systems, and holds a Master’s from UNSW in AI and geospatial tech. Transitioning from traditional architecture and telecom software to applied AI, he brings an unusual blend of design thinking and production-grade engineering. Fluent in Chinese and experienced in cross-disciplinary teams, he pairs reproducible research with toolchain development to move state-of-the-art CV models into constrained real-world environments.
8 years of coding experience
14 years of employment as a software developer
Bachelor's degree of Software Engineering, Computer Science, Bachelor's degree of Software Engineering, Computer Science at Southeast UniversityUNSW Sydney
English, Chinese
Github Skills (22)
pytorch4
face4
tensorrt4
deep-learning3
face-recognition3
face-detection3
object-detection3
convolutional-neural-networks3
yolov43
onnx3
neural-network2
semantic-segmentation1
openmmlab1
machine-learning1
yolov51
Programming languages (2)
Github contributions (5)
echushe/Architecture_And_BIM
Sep 2017 - May 2021
Contributions:23 pushes, 1 branch, 1 comment in 3 years 8 months
echushe/DeepFrame
Jan 2018 - Jul 2020
Contributions:47 commits, 44 pushes, 1 branch in 2 years 6 months
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