Amaia Salvador
Principal Applied Scientist at Microsoft
Barcelona, Catalonia, Spain
Summary
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Senior🎓
Top SchoolAmaia Salvador is a Principal Applied Scientist at Microsoft with 11 years of experience bridging academic computer vision research and production-scale applied science. A PhD candidate in Computer Vision from Universitat Politècnica de Catalunya with an MS in Computer Vision, she has built expertise in image segmentation, multimedia retrieval and visual instance search through internships at Facebook AI, MIT and the National Institute of Informatics. Her industry work includes applied science roles at Amazon and Microsoft where she translated research ideas into deployable systems for large-scale visual understanding. Fluent in both European and international research environments, she has a track record of cross-border collaborations—from Toulouse and Dublin to Tokyo—that inform pragmatic, research-driven product decisions. Notably, she pairs deep theoretical grounding with hands-on implementation experience, making her adept at closing the gap between state-of-the-art models and real-world applications.
11 years of coding experience
6 years of employment as a software developer
Master of Science (MS), Computer Vision, Master of Science (MS), Computer Vision at Universitat Autònoma de BarcelonaUPC Universitat Politècnica de Catalunya
English, Spanish, Catalan
Github Skills (21)
recurrent-neural-networks10
recipe10
keras9
backend9
nlp8
computer-vision8
natural-language-processing8
pytorch7
tensorflow7
deep-learning7
python7
faster-rcnn7
instance-segmentation6
jekyll5
jekyll-theme4
Programming languages (3)
Github contributions (5)
telecombcn-dl/2017-persontyle
Feb 2017 - Mar 2017
Applied Deep Learning Workshop London 2017
Contributions:26 commits, 3 pushes in 28 days
deep-learningcomputer-visionnlp
imatge-upc/rsis
Nov 2017 - Feb 2019
Recurrent Neural Networks for Semantic Instance Segmentation
Contributions:47 commits, 14 pushes, 1 branch in 1 year 3 months
instance-segmentationrecurrent-neural-networks
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