Lars Eidnes is a Database Kernel Engineer based in Trondheim with 14 years of experience building production-grade systems that blend database internals and machine learning. He holds an MSc in Computer Science with a specialization in AI from NTNU and has shifted between hands-on research roles and product engineering, including founding CatchJS and applied ML work at OptoScale and Panoptes. At Huawei he focuses on low-level database kernel challenges, leveraging a strong background in neural networks to inform performance-sensitive data workflows. Comfortable wearing both researcher and builder hats, he brings startup agility alongside enterprise-scale engineering discipline. An early web developer turned ML practitioner, Lars pairs deep technical curiosity with a pragmatic drive to ship robust systems.
Contributions:3 commits, 2 pushes in 7 years 3 months
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