Matteo Barbieri
Machine Learning Engineer at Epidemic Sound
Stockholm, Sweden
Summary
👤
Senior🎓
Top SchoolMatteo Barbieri is a Machine Learning Engineer with a PhD in Computer Science and a decade of experience turning complex, high-dimensional data into reliable, explainable solutions. He has held senior and lead data science roles at companies including King, Peltarion, and now Epidemic Sound, applying deep learning and robust analysis to product and research problems. Trained in rigorous experimental reproducibility, he insists that models must be interpretable, not just performant. A Python-focused practitioner and lifelong learner, he stays current with emerging tools and is exploring blockchain applications. Based in Stockholm, he combines academic rigor with product-driven engineering to solve practical ML challenges at scale.
10 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, 110 cum laude, Master's degree, Computer Science, 110 cum laude at Università degli Studi di Genova / University of GenoaDiploma, Indirizzo scientifico, 91/100, Diploma, Indirizzo scientifico, 91/100 at Liceo Scientifico G.D. CassiniDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Università degli Studi di Genova
Italian, English
Github Skills (31)
actor-critic9
average-precision7
variable-selection7
parallel-processing7
license-plate-recognition7
darkflow7
q-learning7
deep-reinforcement-learning6
machine-learning6
python6
object-recognition6
reinforcement-learning6
object-detection5
computer-vision5
double5
Programming languages (4)
Github contributions (5)
matteobarbieri/covid2019-data-analysis
Mar 2020 - Jul 2020
Contributions:286 commits, 215 pushes, 3 branches in 4 months
matteobarbieri/libtcod-tutorial
Mar 2019 - Jun 2019
Contributions:97 pushes, 11 branches, 15 tags in 3 months
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