Mourad Belhamissi
Computer Vision And Deep Learning Engineer Autonomous Vehicle at Alstom
Cambridge, Massachusetts, France
Summary
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Senior🎓
Top SchoolMourad Belhamissi is a Computer Vision and Deep Learning Engineer with eight years' experience applying advanced vision techniques to autonomous vehicles and biomedical imaging. Currently contributing to Alstom’s driverless train program, he brings production-focused expertise in detection, semantic and instance segmentation, super-resolution, domain adaptation, and embedded ML optimizations. His research experience at Harvard covered GAN-based domain adaptation and 3D microscopy neuron segmentation and reconstruction, bridging cutting-edge methods with real-world datasets like electron microscopy and MRI. A valedictorian in Signal and Image Processing from INSA Lyon, Mourad pairs strong C++ implementation skills with a knack for deploying efficient models on constrained hardware. He combines academic rigor and hands-on systems work, often focusing on robustness across domains and low-resolution reconstruction challenges that are easy to overlook.
8 years of coding experience
Signal and Image processing Engineering degree, Valedictorian, Signal and Image processing Engineering degree, Valedictorian at INSA Lyon - Institut National des Sciences Appliquées de Lyon
Github Skills (32)
biomedical-image-processing9
convolutional-neural-networks9
segmentation9
microscopy9
computer-vision8
darknet8
neuroscience8
toolbox8
pytorch7
deep-learning7
object-detection6
tensorflow6
neural-network5
linux5
windows4
Programming languages (2)
Github contributions (5)
mouradbelo/pytorch_connectomics
Mar 2020 - May 2020
Pytorch Connectomics
Contributions:15 pushes in 1 month
pytorchconnectomics
mouradbelo/Mask_RCNN_Camus
Mar 2020 - May 2020
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Contributions:27 pushes in 1 month
maskdeep-learningr-cnnobject-detectionmask-rcnn
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