Houssem Menhour is an Algorithms Engineer based in Helsinki with 10 years of hands-on experience building production-grade computer vision and machine learning systems. He specializes in imaging for industrial and medical applications—designing image quality assessment libraries, denoising CBCT scans with deep learning, and developing X‑ray sensor testing algorithms. Comfortable in C/C++, Python and C#, he has a track record of optimizing real-time inference on edge platforms like Jetson Nano and integrating vision stacks with PLCs, robots and ETL/logging infrastructures. He also brings strong software engineering discipline, having introduced automated CI/CD, testing and deployment pipelines in prior roles. With dual MSc studies and a history of both research and product delivery, he blends academic rigor with pragmatic system design to move complex vision algorithms into reliable production.
10 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Oulu
Secondary Education Diploma, BAC, Secondary Education Diploma, BAC at Terkhouche Ahmed Secondary School (Jijel)
Bachelor’s Degree, Electrical Engineering & Electronics, Bachelor’s Degree, Electrical Engineering & Electronics at Institute of Electrical Engineering & Electronics (Boumerdes)
Bachelor’s Degree, Computer Engineering, Bachelor’s Degree, Computer Engineering at Kocaeli University
Master's degree, Computer Engineering, Master's degree, Computer Engineering at Yildiz Technical University
Submission for "PARDUS Dosya Sınıflandırma ve Analiz (DoSA)" Competition
Contributions:36 commits, 5 PRs, 14 pushes in 1 year 7 months
deep-learningdosya
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Houssem Menhour - Algorithms Engineer at Detection Technology