Yunfei Zheng
Video Coding And Machine Learning Engineer at Apple
Cupertino, California, United States
Summary
👤
Senior🎓
Top SchoolYunfei Zheng is a Video Coding and Machine Learning Engineer with over 15 years of deep R&D experience and a decade of industry practice building production video codecs and media-analysis systems. He has driven HEVC/AV1-era standardization contributions and shipped foundational HEVC software at Apple, later leading video algorithm teams at Kuaishou to deliver content-aware encoding systems that saved double-digit bandwidth without QoE loss. Comfortable from low-level C/C++ codec implementations to ML-driven enhancement and perception features, he blends signal-processing theory with practical engineering across mobile and server stacks. He has led hiring and scaled teams to 30+ engineers, proposed and delivered proprietary codecs (KVC) and CAPE systems, and continues to innovate at Apple on video coding and machine learning. Less obvious: his background spans precision instruments and mechanical engineering through a PhD in electrical engineering, giving him atypical cross-disciplinary insight into systems and optimization.
10 years of coding experience
13 years of employment as a software developer
Ph.D., Electrical Engineering, Ph.D., Electrical Engineering at West Virginia UniversityBachelor's degree, Precision Instruments and Mechanology, Bachelor's degree, Precision Instruments and Mechanology at Tsinghua University
Chinese
Github Skills (7)
tensorflow5
pytorch5
llvm4
onnx4
vision-and-language3
llm3
object-detection2
Programming languages (3)
Github contributions (5)
lyffly/YOLOv3_with_my_Dataset
Nov 2019 - Dec 2019
Contributions:5 commits, 4 pushes, 1 branch in 24 days
lyffly/KeyPointsDetection
Nov 2019 - Dec 2019
Contributions:7 commits, 6 pushes, 1 branch in 19 days
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