Xavier Giroinieto

Applied Scientist at Deep Learning Barcelona Symposium

Barcelona, Catalonia, Spain
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Summary

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Senior
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Xavier Giroinieto is an applied scientist at Amazon Barcelona with a strong academic pedigree as a former associate professor at UPC and a PhD in Signal Theory and Communications. He combines deep expertise in computer vision, multimedia retrieval and image quality assessment with hands-on work on personalization systems in industry. Xavier has a track record of building bridges between academia and industry—founding and directing a postgraduate deep learning program, advising startups that led to notable exits, and serving as area chair for top vision conferences. Based in Barcelona, he remains deeply embedded in the research ecosystem through roles in ELLIS, the Computer Vision Foundation, and the SFI training centre governance. Less obvious is his continuity of long-term collaborations—multiple summer stints at Columbia’s DVMM lab and cross-institutional mentorships—that reflect a career built on sustained international partnerships.
code11 years of coding experience
job22 years of employment as a software developer
bookMaster's Degree, Telecommunications Engineering, Master's Degree, Telecommunications Engineering at UPC - ETSETB TelecomBCN
bookPrimary, (E.G.B.), Primary, (E.G.B.) at Escola Jungfrau
bookUPC Universitat Politècnica de Catalunya
bookProficiency, English, German, Proficiency, English, German at FIAC
bookHigh School Diploma, High School Diploma at IES La Llauna
bookVisiting scholar, Computer Science, Visiting scholar, Computer Science at Columbia University
languagesEnglish, Catalan, Spanish, French, German
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Github Skills (55)

convolutional-neural-networks10
multimodal-deep-learning10
video-processing10
visual10
machine-learning10
recurrent-neural-networks10
generative-adversarial-network10
image-retrieval10
keras10
sentiment10
deep-learning10
face-generation10
speech10
segmentation10
computer-vision10

Programming languages (4)

C++HTMLJupyter NotebookPython

Github contributions (5)

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Bags of Local Convolutional Features for Scalable Instance Search (ICMR 2016)
Contributions:12 commits, 11 pushes, 1 branch in 1 year 4 months
upcschool-ai/2019-spring

Mar 2019 - Oct 2019

Artificial Intelligence with Deep Learning (1st edition, Spring 2019)
Contributions:63 commits, 61 pushes, 1 branch in 7 months
artificial-intelligencedeep-learning
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