Shuiling Yu is an algorithm engineer based in Shenzhen with eight years of experience building planning and spatial-data-driven systems for transportation and telecommunications. She has moved from GIS programming and geospatial analysis into reinforcement-learning and behavior planning, delivering end-to-end systems and interactive simulations for autonomous vehicle planning at BYD. Her background combines hands-on ArcGIS/AGOL integrations, cloud automation (Google Cloud/AWS), and production logging with recent work on spatio-temporal semantic corridors and decision-making stacks. She is comfortable bridging domain experts and engineers, having worked with geoscientists, field teams, and telecom clients to turn complex spatial data into practical tools. That mix of civil engineering training and a master's from UIUC gives her a rare perspective on both physical infrastructure and algorithmic planning. She tends to favor pragmatic automation that improves operational productivity while enabling advanced planning research to reach production.
8 years of coding experience
5 years of employment as a software developer
University of Illinois Urbana-Champaign
Bachelor's degree, Civil Engineering, A, Bachelor's degree, Civil Engineering, A at South China University of Technology
Contributions:6 pushes, 1 branch, 1 comment in 1 year 2 months
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