Qiao Lin is a Lead Software Engineer based in New York with 11 years of experience blending architecture, product-focused engineering, and design thinking across startups, agencies, and enterprises. With a background in architecture and a post-master in Speculative Design for AI, Qiao brings a rare combination of spatial systems thinking and technical depth to problems in healthcare, automation, and logistics. They’ve driven front-end improvements in notable open-source projects like ApostropheCMS—enhancing image widget flexibility—and recently completed a Deep Learning specialization to pivot more directly into NLP and AI work. Known for bridging design-led research and production engineering, Qiao enjoys exploring language technologies that improve user experience rather than purely academic models.
11 years of coding experience
8 years of employment as a software developer
Web Development Immersive, Full Stack Developer, Web Development Immersive, Full Stack Developer at General Assembly
Bachelor's Degree, Architecture, Bachelor's Degree, Architecture at School of Architecture at Syracuse University
The New Normal - post master, Speculative Design, AI at Urban Scale, Algorithmic Governance, The New Normal - post master, Speculative Design, AI at Urban Scale, Algorithmic Governance at Strelka Institute for Media, Architecture and Design
A full-featured, open-source content management framework built with Node.js that empowers organizations by combining in-context editing and headless architecture in a full-stack JS environment.
Role in this project:
Front-end Developer
Contributions:1 review, 8 commits, 1 PR in 1 day
Contributions summary:Qiao primarily focused on the `apostrophecms/apostrophe` repository's image widget functionality. Their contributions involved modifying the widget's code to conditionally render attributes for image width and height, making the setting of these attributes optional. Additionally, the user refactored the widget's options, changing the way the image widget handles setting dimensions from the module level and also the manager level. This work enhances the flexibility of the image widget, particularly regarding image dimensions and display behavior.
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Qiao Lin - Lead Software Engineer at Floating Fleet AI