Øystein Myrmo is a software manager and performance-focused engineer with 11 years of experience building and optimizing C++ systems across platforms including Windows, Linux, macOS, Android, iOS and WebGL. He has deep expertise in graphics, AR/VR, computer vision, numerical algorithms and machine learning, and has led router optimization work at AutoStore that targets high-throughput robotic logistics. His background in mechanical engineering and CFD gives him uncommon strength in numerical modeling and performance tuning for physics-heavy problems. An active contributor to dlib’s build/configuration compatibility, he brings practical open-source experience in compiler and CI concerns. Outside work he develops cross-platform mobile apps and maintains a popular food-blog app, combining full-stack and embedded C++ skills with backend ops.
10 years of coding experience
11 years of employment as a software developer
Norges teknisk-naturvitenskapelige universitet
University of Oslo
ThePowerMBA, Business Administration, Management and Operations, ThePowerMBA, ThePowerMBA, Business Administration, Management and Operations, ThePowerMBA at thePower
B.Sc., Programming and software developement, B.Sc., Programming and software developement at Høgskolen i Hedmark (HH)
A toolkit for making real world machine learning and data analysis applications in C++
Role in this project:
Backend & DevOps Engineer
Contributions:5 commits, 1 PR, 1 comment in 1 day
Contributions summary:Øystein contributed to the build and compiler configuration of the dlib library. Their changes included adjusting template depth settings for Clang compilers, making compiler options compatible with clang-cl, and refining error messages related to C++11 support in different Visual Studio versions. Additionally, they modified the testing infrastructure to prevent compiler warnings, ensuring successful C++11 compatibility checks. Their contributions primarily focused on compiler compatibility and build system improvements.
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