Juuso Alasuutari is a senior developer with 18 years of hands-on experience, deeply fluent in C/C++ and Linux-centric development across Debian and Ubuntu stacks. He combines a pedantic eye for bugs with strong low-level systems craftsmanship—evidenced by contributions to the widely used darknet/YOLO repository where he fixed memory errors and improved image-processing code. Juuso is passionate about portability and building native libraries and frameworks that enable complex feature sets, and he is actively seeking opportunities in AI development. Pragmatic and Unix-minded, he prefers robust, portable designs (C23 and C++20+ friendly) and enjoys rooting out subtle defects other engineers miss. Based in Tampere, Finland, he brings both production experience at CrossControl and enterprise-scale delivery into his current senior role at Tata Consultancy Services.
18 years of coding experience
4 years of employment as a software developer
English, Finnish, English, Finnish
Github Skills (9)
c1710
object-detection10
computer-vision10
deep-learning10
c1110
refactor9
deep-neural-networks9
neural-network9
refactoring9
Programming languages (11)
TypeScriptJavaShellC++CRustLLVMDIGITAL Command Language
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Role in this project:
Back-end Developer
Contributions:8 commits, 9 PRs, 43 comments in 29 days
Contributions summary:Juuso primarily contributed to the codebase by fixing bugs and improving the code quality within the `alexeyab/darknet` repository. Their changes involved refactoring code related to image processing functions within the `src/classifier.c` file, correcting double-free errors, and removing commented-out lines. The user also addressed code style issues by removing instances of potentially confusing comment syntax and fixing member initialization order.
Contributions:8 pushes, 3 branches in 5 years 4 months
javacodebase
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