Zingo Andersen is a versatile low-level software engineer with 10+ years of experience building and porting real-time and embedded systems, currently working in ARM’s Machine Learning division. He combines deep expertise in RTOS and Linux/Android internals with hands-on assembly, C/C++ and scripting, plus practical experience with ARM processors and Lauterbach tools. His career spans automotive connectivity, mobile platform stability at Sony, and embedded productisation projects where he built drivers and brought up custom hardware. Beyond professional work he runs Crazy Capy, prototyping creative hardware/software projects like an ultra-low-cost Bluetooth lap tracker, and maintains a playful “happy hacker” presence on GitHub. Colleagues know him for making large, finicky software suites run on constrained devices and for translating user needs into stable, production-grade platform solutions. Based in Lund, Sweden, he blends decades of embedded systems seasoning with a hacker’s curiosity and a knack for pragmatic porting.
10 years of coding experience
32 years of employment as a software developer
LTH
Computer science: Machine Learning, Computer science: Machine Learning at Stanford University
On-device AI across mobile, embedded and edge for PyTorch
Contributions:201 pushes, 115 branches in 11 months
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