Ahmed Radwan
Senior Software Engineer at COM-IoT Technologies
Dubai, Dubai, United Arab Emirates
Summary
👤
Senior🎓
Top SchoolAhmed Radwan is a Senior Software Engineer with nine years of experience specializing in robotics, perception and autonomy, currently based in Dubai. He blends systems-level C++ and Python expertise with ROS and LiDAR perception to deliver production-ready CI/CD pipelines and real-time mapping and detection solutions. At COM-IoT and previous roles he led integrations of 3D detection models and LIO-SAM mapping into robotic stacks, and contributed a ROS-integrated PyTorch SFA3D implementation for fast, accurate 3D object detection. He mentors and trains technical teams, bridging research code and deployable systems while owning build and deployment tooling. Ahmed’s background in aerospace engineering and a recent MS from Georgia Tech give him a strong theoretical grounding that he applies to practical autonomy challenges. Colleagues note his knack for turning complex sensor and pipeline problems into reliable, repeatable workflows.
9 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Aerospace, Aeronautical and Astronautical Engineering, Bachelor's degree, Aerospace, Aeronautical and Astronautical Engineering at Zewail City of Science and TechnologyMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
English, Arabic, French
Github Skills (9)
pytorch10
3d-object-detection10
py10
python10
ros10
setuptools10
realtime9
computer-vision9
3d-models8
Programming languages (3)
Github contributions (5)
maudzung/SFA3D
Sep 2020 - Sep 2020
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
Role in this project:
Full-stack Developer & ML Engineer
Full-stack Developer & ML EngineerContributions:10 commits, 3 PRs, 3 comments in 3 days
Contributions summary:Ahmed contributed significantly to the project by adding a ROS node, integrating 3D models, and setting up the project build environment. They demonstrated proficiency in integrating the SFA model with ROS for object detection and visualization. Furthermore, the user edited configuration and demo files, and modified the `setup.py` file, indicating responsibility for project structure and deployment.
lidar-point-cloudreal-time3d-lidarobject-detectioncomputer-vision
YonoHub/YonohubDemos
Aug 2020 - Apr 2021
Contributions:41 commits, 36 pushes, 1 branch in 8 months
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