Fabio Carlucci
Research Engineer at Meta
Rome, Lazio, Italy
Summary
👤
Senior🎓
Top SchoolFabio Carlucci is a research engineer based in Rome with 11 years of professional experience and a strong academic foundation in deep learning, computer vision and robotics. He has published at top venues (NeurIPS, ICLR, ICCV, CVPR and PAMI) and led AutoML efforts at Huawei that produced ICLR/NeurIPS papers and patents before moving to Meta to work on audio-video understanding and AI for AR. Equally comfortable in research and production, he is proficient across major DL frameworks (PyTorch, Keras, Caffe) and has a track record of shipping applied ML systems in industry-scale teams. His background spans RGB-D perception, domain adaptation and neural architecture search, and he often bridges theoretical work with practical engineering—an unusual blend evidenced by awards like "Future Star" and multiple patents.
11 years of coding experience
9 years of employment as a software developer
Gra, Gra at Sapienza Università di RomaBachelor of Engineering (BEng), Ingegneria informatica, 102/110, Bachelor of Engineering (BEng), Ingegneria informatica, 102/110 at Università degli Studi di Roma TrePrimary and Secondary School, Primary and Secondary School at St. Georges SchoolDeep Learning Summer School, Deep Learning Summer School at CIFAR / ICRA Montreal, CanadaScientific High School Degree, Scientific High School Degree at Liceo Scientifico FarnesinaSecond Örebro Winter School on Artificial Intelligence and Robotics, Second Örebro Winter School on Artificial Intelligence and Robotics at Örebro University, Sweden5th PAVIS School on Computer Vision, Pattern Recognition, and Image Processing, 5th PAVIS School on Computer Vision, Pattern Recognition, and Image Processing at PAVIS School
Github Skills (41)
python10
statistics10
machine-learning10
gpu10
data-science9
caffe9
numpy9
jigsaw9
generalization9
neural-network9
deep-learning9
data-analysis9
scikit8
adaptation8
gpu-acceleration8
Programming languages (3)
Github contributions (5)
fmcarlucci/ADAGE
Mar 2018 - Nov 2018
pytorch implementation of Domain-Adversarial Training of Neural Networks
Contributions:239 commits in 8 months
pytorchdeep-learningadversarialadversarial-trainingneural-networks
enoonIT/nbnn-nbnl
Jun 2015 - Aug 2016
Contributions:132 commits, 120 pushes, 1 branch in 1 year 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.