Mohamed Aladem
Software Engineer (SLAM) at Woven by Toyota
Michigan, United States
Summary
👤
Senior🎓
Top SchoolMohamed Aladem is a software engineer specializing in SLAM and perception with 10 years of experience building robust C++ systems for robotics, computer vision, and autonomy. He has driven perception and ground-truth efforts across industry and research at Woven by Toyota, Toyota Research Institute, and Zenuity, and developed simulation and SLAM tools during academic research at the University of Michigan–Dearborn. With a PhD in Electrical and Computer Engineering and a track record of translating research into production-grade code, he excels at optimizing algorithms for real-world robotic platforms. Based in Michigan, he combines deep theoretical grounding (perfect PhD GPA) with practical experience writing physics simulators and production perception stacks, favoring clean, efficient implementations that bridge AI and embedded systems.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.Sc.), Mechatronics Engineering, 3.29/4.0, Bachelor of Science (B.Sc.), Mechatronics Engineering, 3.29/4.0 at Al-Jami'ah Al-UrduniaMaster's degree, Computer Engineering, 3.94/4.0, Master's degree, Computer Engineering, 3.94/4.0 at University of Michigan-Dearborn
Arabic, English
Github Skills (2)
visual-odometry10
odometry6
Programming languages (1)
Github contributions (5)
SAR-Research-Lab/lvt
Aug 2018 - Dec 2018
Lightweight Visual Tracking: A multipurpose visual odometry system.
Contributions:1 release, 8 commits, 7 pushes in 4 months
visual-odometrymultipurposevisual-trackingodometrytracking
alademm/neural-network-experiment
Aug 2018 - Sep 2019
Contributions:2 pushes, 1 branch in 1 year 1 month
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