Guillem Cucurull
Research Engineer at Facebook
Barcelona, Catalonia, Spain
Summary
👤
Senior🎓
Top SchoolGuillem Cucurull is a research engineer based in Barcelona with 12 years of experience specializing in machine learning and computer vision, currently contributing to Papers With Code at Facebook. His trajectory bridges academic research—PhD-level work and internships at MILA and Element AI—with applied R&D roles in industry, delivering deep learning solutions since early work at the Computer Vision Center. He combines strong academic credentials (second-best grade in his computer science cohort) with practical engineering experience from web development to enterprise AI at Blue Prism. Known for turning research into reproducible tools and resources, he focuses on making cutting-edge vision models accessible to practitioners. Guillem’s background suggests a blend of rigorous experimentation and product-aware development, comfortable moving ideas from papers to production.
12 years of coding experience
4 years of employment as a software developer
Graduate, Computer Science, Second best grade in my promotion., Graduate, Computer Science, Second best grade in my promotion. at Universitat Autònoma de BarcelonaComputer Science, Computer Science at Høgskolen i Molde
Spanish, Catalan, English
Stackoverflow
1,681reputation
258kreached
43answers
3questions
ionic-framework
top-5%
tensorflow
top-5%
neural-network
top-5%
Github Skills (67)
python10
mixnet10
deep-learning10
self-attention10
vision-transformer10
efficientnet10
caffe10
distributed-training10
imagenet10
optimizer10
pattern10
ml10
resnet10
neural-network10
activation10
Programming languages (5)
Github contributions (5)
gcucurull/caffe-conf-matrix
Jun 2016 - Dec 2019
Python layer for the Caffe deep learning framework to compute the accuracy and the confusion matrix.
Contributions:9 commits, 8 pushes, 1 branch in 3 years 7 months
caffeconfusion-matrixdeep-learningpythonpyhton-layer
vcampmany/mcv-m5
Mar 2017 - Apr 2017
Contributions:58 commits, 45 pushes, 1 comment in 1 month
visiondeep-learningface-recognitionrecognitioncomputer-vision
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