Daniel Sánchez
Machine Learning Engineer at Pix4D
Madrid, Community of Madrid, Spain
Summary
👤
Senior🎓
Top SchoolDaniel Sánchez is a Machine Learning Engineer with 11 years of experience specializing in low-computation deep learning and computer vision, currently building and deploying 2D/3D detection and point-cloud models at Pix4D. He combines a strong research background—a PhD candidate experience at BISITE and a visiting stint at UCLouvain—with hands-on production work in cloud deployment, CI, and model versioning. His projects span image analysis, kernel-approximation methods for large-scale ML, NLP and social network mining, and efficient image-matching pipelines. Based in Madrid, he pairs rigorous academic training and top-of-class undergraduate performance with a practical focus on shipping resource-efficient ML systems for real-world sensing and mapping applications.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Universidad de Salamanca
Spanish, English
Github Skills (53)
face-detection10
python10
data-science10
scikit10
statistics10
machine-learning10
segmentation10
face-recognition10
scikit-learn10
visual-recognition10
data-analysis10
computer-vision9
object-detection9
deep-learning8
computer-graphics8
Programming languages (3)
Github contributions (5)
lopeLH/Gaussian-Bayes-classifier
Oct 2016 - Feb 2019
Contributions:18 commits, 17 pushes, 1 branch in 2 years 4 months
lopeLH/DeepLearning-caffe-examples
Apr 2015 - Oct 2016
Contributions:5 commits, 4 pushes, 1 branch in 1 year 6 months
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