Haijun Qiao
Director Web Development at Fortinet
Vancouver, British Columbia, Canada
Summary
🤩
Rockstar🎓
Top SchoolHaijun Qiao is a seasoned web engineering leader with 11 years of experience building and scaling web applications, now directing Web Development at Fortinet from Vancouver. He blends full-stack expertise in JavaScript, Java, C++ and Python with deep knowledge of modern web technologies and front-end frameworks to deliver performant, maintainable products. His background in parallel programming, distributed systems (MPI, Hadoop) and contributions to the well-known Apache MXNet repo show strength in automation and managing distributed training workflows. Prior roles span engineering, test automation at SAP and hands-on device modeling and characterization in nano-photonics, giving him a rare combination of software rigor and applied science. Haijun is recognized for leading cross-disciplinary teams, optimizing processes (e.g., speeding data analysis and fabrication yields), and translating complex research into production-ready systems. He pairs pragmatic engineering with a scientist’s analytical approach, making him effective at solving both high-level architecture and low-level performance problems.
11 years of coding experience
14 years of employment as a software developer
Ph. D., Nanotechnology, Ph. D., Nanotechnology at Nankai UniversityMaster of Engineering (MEng), Software Systems, Master of Engineering (MEng), Software Systems at The University of British Columbia
English, Chinese, Japanese
Github Skills (12)
sh10
mxnet10
script10
distributed-training10
shell10
python10
scripting10
image-classification9
automation9
automations9
deep-learning9
bash8
Programming languages (9)
Github contributions (5)
apache/mxnet
Dec 2015 - Jun 2016
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:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:40 commits, 55 PRs, 166 comments in 6 months
Contributions summary:Haijun contributed to the project by developing tools and scripts, primarily in Python, to manage and automate tasks related to distributed training jobs. The user created scripts to kill distributed training processes, download datasets, and generate image lists. Additionally, they made changes to configuration files and scripts related to training processes and image classification.
pythonschedulerdataflowmutationdata-science
qiaohaijun/my-leetcode
Nov 2017 - Mar 2019
Contributions:536 commits, 504 pushes, 4 issues in 1 year 5 months
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