Yuquan Hong is a UCLA-trained software engineer with a rare blend of mathematical rigor and hands-on systems experience, building real-time distributed backends, high-concurrency apps, and ML-driven analytics across web and cloud environments. In internships and startups he has shipped production features—from a full-stack ticketing and live-streaming service to low-latency cargo bin-packing optimizations—while also developing computer vision pipelines for sports analytics. He brings six years of practical experience across embedded/IoT work (including 5-axis 3D printer configuration) and cloud-scale services, favoring clear design, interpretability, and scalable architectures. Comfortable across backend, full-stack, and distributed systems roles, he pairs model-driven thinking with pragmatic engineering to turn complex constraints into reliable, performant products. Outside work he pursues photography and skiing, reflecting a visual and disciplined approach to problem solving.
6 years of coding experience
1 year of employment as a software developer
High School Diploma, High School Diploma at Shenzhen Senior High School
This is a Github repository for 5-axis 3D printing
Role in this project:
Embedded Systems Engineer / IoT Developer
Contributions:163 commits, 7 PRs, 107 pushes in 11 months
Contributions summary:Yuquan primarily contributed to configuring and refining the configuration files (config.g) for a 3D printer control system, likely a Duet2, as evidenced by the file paths and code snippets. They modified settings related to axis mapping, microstepping, speeds, accelerations, endstops, and thermal management. Additionally, the user included files related to a Grasshopper definition, potentially indicating efforts related to toolpath generation for a 5-axis 3D printer, although this is not supported by the commit data.
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