Emity Pan - Operations Manager

Emity Pan

Operations Manager

Shanghai, Shanghai, China

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Summary

🤩

Rockstar

🎓

Top School

Emity Pan is an operations leader and seasoned industrial/UX designer with over 10 years of experience designing wearable devices, consumer electronics and education products while leading cross-functional teams. She cofounded TianYan Education Technology and scaled the Happy Bean brand to 500+ members, owning product, marketing and people operations with a pragmatic, rules-based management style. Previously she led industrial and UX work at Intel, delivering AR/VR glass prototypes, ergonomics research, materials exploration and published IP (2+ filed patents) and academic papers. Though she downplays her coding skills, she has contributed backend and DevOps fixes to the high-profile openvino open-source toolkit, improving build stability and benchmark behavior. Emity combines hands-on design research and manufacturing support with an operator’s focus on measurable outcomes and mutual-benefit partnerships. Her uncommon blend of deep industrial craft and startup operational grit helps translate complex research into manufacturable, user-centered products.

10 years of coding experience

Bachalor, Industrial Design, Bachalor, Industrial Design at Xi’an Polytechnic University

Master, Industrial Design, Master, Industrial Design at Shanghai Jiao Tong University

English

Stackoverflow

Stats

1reputation

0reached

0answers

0questions

Github Skills (10)

c-language10

cprogramming-language10

openvino10

testing9

ai9

build-system9

deep-learning8

deeplearning-ai8

computer-vision8

paddle7

Programming languages (4)

C++MATLABPythonMatlab

Github contributions (5)

openvinotoolkit/openvino

Oct 2022 - Dec 2022

OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference

Role in this project:

Back-end Developer & DevOps Engineer

Contributions:5 reviews, 4 commits, 59 PRs in 2 months

Contributions summary:Emity primarily contributed to the OpenVINO toolkit by addressing build warnings, particularly related to the "Auto" plugin and Paddle Front End. They fixed code style issues and addressed sign-compare warnings. Additionally, the user modified the benchmark tool and application to disable auto-batching under specific conditions, adding relevant warnings. Furthermore, the user addressed shutdown issues, and deprecated legacy C API.

inference-enginepytorchmodel-optimizerdeep-learninggpu

panhaiqi/RGL

Nov 2017 - Jan 2019

Contributions:10 commits, 8 pushes, 1 branch in 1 year 2 months

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