Qinzheng Sun
Auckland, Auckland, New Zealand
Summary
🤩
Rockstar🎓
Top SchoolQinzheng Sun is a full-stack software engineer with 11 years of experience, currently completing a Master's in Information Technology at the University of Auckland (graduating Feb 2024). He is proficient in Java, C#, and Python and has practical experience in full-stack development, software production, and game development. Qinzheng has contributed front-end improvements to the high-profile microsoft/pai project, enhancing job management UI, responsiveness, and layout for cluster resource scheduling. Comfortable working across UI components and complex layouts, he balances user-focused design with engineering rigor. Based in Auckland, he blends industry experience with recent advanced studies, positioning himself to take on impactful engineering roles in cloud, AI tooling, or interactive applications. An often-overlooked strength is his cross-domain fluency—from game systems to enterprise scheduling UIs—enabling fast adaptation to diverse product needs.
11 years of coding experience
The University of AucklandBachelor of Information Technology, Bachelor of Information Technology at Wintec - Waikato Institute of Technology
Github Skills (9)
uid10
responsive-design10
javascript10
front-end-development10
ui-design10
react10
html9
css9
task-management9
Programming languages (6)
Github contributions (5)
microsoft/pai
Oct 2018 - Feb 2020
Resource scheduling and cluster management for AI
Role in this project:
Front-end Developer
Front-end DeveloperContributions:176 commits, 330 PRs, 413 pushes in 1 year 4 months
Contributions summary:Qinzheng primarily contributed to the web portal's front-end, focusing on the job detail and job list pages. Their commits involved implementing new UI elements for job management, such as multi-job selection and stop functionality. Furthermore, they worked on improving the responsiveness and overall layout of the job table and the display of the task roles, demonstrating experience with UI component development and layout design.
cluster-managementmodel-trainingchainertensorflowcloud
microsoft/azure-pipeline-filter
May 2022 - Nov 2022
Tools for conditional azure pipeline execution
Contributions:4 reviews, 11 commits, 12 PRs in 6 months
pipelineexecution-pipelineconditionalazureexecution
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