Lili Jiao
Inspur at Inspur Group Co.,LTD
China
Summary
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RockstarLili Jiao is a front-end software engineer with 8 years of experience based in China, currently working at Inspur Group. She focuses on building and refining React/TypeScript web UIs, with notable open-source contributions to prominent Microsoft projects like PAI (cluster management for AI) and NNI (AutoML toolkit). Her work emphasizes usability—implementing YAML editors, improving job submission flows, surfacing intermediate ML trial results, and fixing nuanced UI behaviors such as conditional button states and log-path displays. Comfortable working in large-scale, cloud- and AI-related codebases, she blends pragmatic bug fixing with thoughtful interface enhancements that improve developer and operator workflows. Colleagues would describe her as detail-oriented and user-focused, often making small UI changes that materially reduce friction in complex ML and cluster-management tasks.
8 years of coding experience
Github Skills (14)
html10
webui10
css10
uid10
typescript10
javascript10
typescripts10
front-end-development10
ui-design10
react10
typescript-types10
bootstra8
bootstrap8
yaml7
Programming languages (3)
Github contributions (5)
microsoft/nni
Sep 2018 - Mar 2020
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Role in this project:
Front-end Developer
Front-end DeveloperContributions:127 commits, 138 PRs, 149 comments in 1 year 5 months
Contributions summary:Lili primarily focused on bug fixes and improvements related to the web UI, specifically addressing issues within the trial status and session components. Their work involved modifying UI elements and incorporating new features, such as displaying intermediate results and enhancing the display of log paths. The user also contributed to the overall design and layout of the web UI, including changes to the slide bar and table components. The user's commits demonstrate a focus on the React and TypeScript codebase for the web front-end.
pythonneural-architecture-searchengineeringtensorflowbayesian-optimization
microsoft/pai
Aug 2018 - Sep 2018
Resource scheduling and cluster management for AI
Role in this project:Front-end Developer
Front-end DeveloperContributions:10 commits, 17 PRs, 19 pushes in 28 days
Contributions summary:Lili primarily focused on updating and refining the user interface for the PAIShare job submission page. Their contributions involved modifications to the layout, styling, and functionality of the submit job interface, including the addition of new UI elements and the implementation of a YAML editor. The user also addressed issues with the submit button's behavior and disabled it under certain conditions, ensuring proper user experience. These changes suggest a focus on improving the usability and visual presentation of the job submission workflow.
cluster-managementmodel-trainingchainertensorflowcloud
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