Ahmed S.

Ahmed S. is a Senior Machine Learning Engineer at Metaspectral with a focus on hyperspectral satellite imaging and atmospheric carbon modeling, having successfully completed a notable project with the Canadian Space Agency. Prior experience includes a position as a Research Engineer at Teledyne FLIR, where contributions to machine vision and deep learning projects were made, along with the deployment of models on edge devices. Ahmed's academic background includes a Master's in Applied Science from The University of British Columbia, where a thesis project on frequency estimation for quarry blast data was completed, and a Bachelor's in Electrical and Electronics Engineering from the University of Tripoli. Additional experience includes internships and roles in machine learning for medical imaging and engineering positions in field operations with Schlumberger.