Jinlin Jiang

Market Quality Engineer at vivo smartphone

Shenzhen, Guangdong Province, China
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Summary

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Rockstar
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Jinlin Jiang is a Market Quality Engineer based in Shenzhen with over eight years of deep expertise in after-sales service, RMA repair center operations, and spare parts network planning across global markets. He has led regional HLRC strategies at Huawei and currently manages market quality at vivo, driving process standardization, KPI frameworks, and cost-reduction through reverse logistics and high-value parts refurbishment. His background spans establishing RMA organizations, setting repair KPIs, and scaling multiple repair centers in China and the USA, with measurable results such as a 40% VLRR reduction. Jinlin combines technical training in communication engineering and digital signal processing with hands-on operational leadership, enabling him to translate failure analysis into product and supply-chain improvements. He is adept at aligning suppliers, ASCs and regional hubs to optimize turnaround and reuse of components—an often-overlooked lever for cutting service costs and environmental impact. With experience across Huawei, vivo and leading OEMs, he brings pragmatic systems thinking to aftermarket service design and execution.
code7 years of coding experience
job8 years of employment as a software developer
bookBachelor of Communication Engineer, Electronic circuit, Digital signal processing, Digital circuit logic design, Bachelor of Communication Engineer, Electronic circuit, Digital signal processing, Digital circuit logic design at Nanchang University
languagesEnglish
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Github Skills (43)

deep-dream10
grad-cam10
semantic-segmentation10
gradient10
segmentation10
computer-vision10
weakly-supervised-learning10
xai9
convolutional-neural-networks9
classification9
machine-learning9
natural-language-processing9
clip9
localization9
deep-learning9

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

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PengtaoJiang/OAA-PyTorch

Dec 2019 - Dec 2021

The PyTorch Code for our ICCV 2019 paper "Integral Object Mining via Online Attention Accumulation"
Contributions:66 commits, 59 pushes, 1 branch in 2 years 1 month
pytorch
Contributions:15 commits, 2 pushes in 1 month
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