Mikel Garde is a Senior AI Research Engineer based in Madrid with 8 years of experience building deep learning models, primarily applied to fashion and visual domains. With a Master's in Computer Vision and early research at Mila and the Computer Vision Center, he bridges academic rigor—contributing to surveys and continual learning toolkits—with product-focused model development at Wide Eyes, Stylitics, and now Ravenloop. He has hands-on experience in unsupervised domain adaptation, generative replay for class-incremental learning, and deploying research into commercial fashion tech following an acquisition. Known for turning complex vision research into practical solutions, he combines a neuroscience-informed perspective on continual learning with a pragmatic drive to ship models that impact product metrics.
8 years of coding experience
7 years of employment as a software developer
Master's degree Computer Vision, Master's degree Computer Vision at Universitat Autònoma de Barcelona
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Universidad Pública de Navarra
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Mikel Garde - Senior AI Research Engineer at Ravenloop