Fereidoon Zangeneh
Computer Vision Engineer And PhD Student at Univrses
Stockholm, Stockholm County, Sweden
Summary
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Senior🎓
Top SchoolFereidoon Zangeneh is a computer vision engineer and PhD student at KTH and Univrses with 11 years of engineering experience focused on robotics, perception and deep learning for SLAM. He combines academic rigor from his PhD and dual master’s background in mechatronics and systems, control and robotics with hands-on research and product work at a perception startup. His work spans self-supervised monocular egomotion learning to deployable SLAM solutions, blending theory with practical implementation. Based in Stockholm, he has repeatedly moved ideas from thesis projects into applied engineering at Univrses since 2020. Notably, his profile reflects a strong specialization in learning-based egomotion and perception that bridges academic publications and startup-grade code. Colleagues describe him as someone who turns complex sensor and learning problems into robust, production-ready perception modules.
11 years of coding experience
Master in Engineering with Honours, Mechatronic Engineering, First Class (89%), Master in Engineering with Honours, Mechatronic Engineering, First Class (89%) at University of NottinghamMaster of Science, Systems, Control and Robotics, Master of Science, Systems, Control and Robotics at KTH Royal Institute of Technology
Swedish, German, Persian, English
Github Skills (7)
reinforcement-learning1
ethercat1
robotics1
api1
servo1
android1
flutter1
Programming languages (2)
Github contributions (5)
efreidun/vapor
May 2022 - Feb 2023
Contributions:1 release, 163 commits, 1 branch in 10 months
efreidun/SfmLearner-Pytorch
Jul 2020 - Aug 2020
Pytorch version of SfmLearner from Tinghui Zhou et al.
Contributions:29 pushes, 1 branch in 1 month
pytorchzhou
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