Magdalini Papaioannou
Engineer at Mycronic
Stockholm, Stockholm County, Sweden
Summary
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Senior🎓
Top SchoolMagdalini Papaioannou is an experienced R&D software engineer with 13 years focused on computer vision and machine learning, currently applying those skills to semiconductor challenges at Mycronic. She has a strong track record in algorithm development for eye tracking, VR/AR and driver monitoring systems, delivering production-ready C++ and Python solutions and building CI pipelines and synthetic data generation workflows. Magdalini has balanced hands-on engineering with process and team facilitation—serving as a Scrum Master and driving ASPICE SWE3/4 adoption across automotive teams. Her background spans academic SLAM research that improved KITTI benchmark results to practical embedded deployments for partners like Sony and Stoneridge, showing a rare mix of research rigor and production engineering. Based in Stockholm with an MSc in Machine Learning from KTH, she brings deep domain expertise plus a pragmatic focus on data-driven evaluation and automated testability.
13 years of coding experience
5 years of employment as a software developer
Master's degree, Machine Learning, Master's degree, Machine Learning at KTH Royal Institute of TechnologyElectrical and Computer Engineering, Computer Science, 8.1, Electrical and Computer Engineering, Computer Science, 8.1 at Panepistimion Patron / University of Patras
Greek, English, Swedish, ItalianGithub contributions (5)
mel--mel/opencl_thesis
Sep 2014 - Jan 2015
Contributions:91 commits, 9 pushes in 4 months
mel--mel/DD2424-DeepLearning
Jun 2018 - Aug 2018
Contributions:35 pushes, 1 branch in 2 months
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