Wang Jiajun
HR Manager at bluemusic LTD
China
Summary
🤩
RockstarWang Jiajun is an HR Manager based in China with a decade of professional experience blending people operations and technical collaboration. Currently leading HR at bluemusic LTD, he focuses on building organizational capability and aligning talent strategies with company growth. Beyond HR, he has hands-on engineering experience as an ML engineer contributor to the widely used Apache MXNet project, where he fixed core operator bugs and improved memory reliability—an uncommon technical pedigree for an HR leader. That technical background helps him translate engineering needs into effective hiring, onboarding, and retention practices. Colleagues describe him as a practical problem-solver who bridges people and product with a detail-oriented mindset. He brings a rare combination of HR leadership and open-source engineering insight to talent programs supporting machine learning teams.
10 years of coding experience
Github Skills (15)
mxnet10
machine-learning10
c-language10
deep-learning10
cprogramming-language10
python10
cuda9
algorithms8
code-optimization8
numerical-optimization8
algorithm8
optimization8
linear-algebra8
optimisation8
computer-vision7
Programming languages (3)
Github contributions (5)
apache/mxnet
May 2018 - Dec 2019
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Role in this project:
ML Engineer
ML EngineerContributions:20 commits, 32 PRs, 8 pushes in 1 year 7 months
Contributions summary:Wang primarily contributed to the core functionality of the MXNet deep learning framework. Their commits focused on fixing bugs in existing operators like `topk nms`, `bipartite match`, and memory-related issues to enable ASAN tests, indicating a focus on code reliability. They also added new features such as adding arguments in the warpctc layer, which reflects their contribution to the development of the core operators. Additionally, they made contributions to the integration of matrix determinant operator within the framework.
dataflowdeep-learninggojavascriptjulia
arcadiaphy/incubator-mxnet
Dec 2017 - Mar 2020
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Contributions:223 pushes, 67 branches in 2 years 2 months
pythonschedulerdataflowmutationorchestration
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.