Yunfei
Shanghai, China
Summary
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SeniorYunfei 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
Github Skills (21)
runtimes9
pytorch9
nvidia9
cpp8
cuda8
large-language-models7
tensorrt7
inference7
python7
llm6
hardware6
wechat6
tensorflow5
deep-learning5
wechat-mini-program5
Programming languages (2)
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
using deep learining to detect keypoints in PyTorch
Contributions:7 commits, 6 pushes, 1 branch in 19 days
pytorch
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