Alessandro Petrini
Research Engineer at Huawei Paris Research Center
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolAlessandro Petrini is a research engineer based in Paris with a decade of experience at the intersection of high-performance computing and ML/AI, specializing in accelerated and heterogeneous computing for Big Data and bioinformatics. He has led PRACE-awarded projects and secured access to Tier-0 supercomputing resources (50M core-hours) to drive GPU-accelerated solutions that tackle extreme class imbalance and large genomic and imaging datasets. His work spans GPU-optimized ML, neural network compression, graph neural networks, and image/video processing, with over 30 peer-reviewed publications and production collaborations across academia and industry. Comfortable moving projects from problem definition through deployment, he pairs deep systems-level optimization skills (C++, Python, HPC) with hands-on mentoring and cross-disciplinary teamwork. Unusually, his background also includes a decade of self-taught electronic and audio engineering, reflecting a practical, hardware-aware mindset that informs his approach to efficient algorithm and system design.
10 years of coding experience
16 years of employment as a software developer
University of Milan
English, Japanese, Italian
Github Skills (16)
nsd9
nfv7
compression7
convolutional-neural-networks6
openstack6
graph-coloring5
machine-learning4
deep-learning4
neural-network4
mcmc3
quantization3
graph3
gpu2
descriptor2
pdf1
Programming languages (3)
Github contributions (5)
AnacletoLAB/parSMURF
Apr 2019 - Dec 2020
High Performance Computing imbalance-aware machine learning tool for the genome-wide detection of pathogenic variants
Contributions:29 commits, 4 PRs, 13 pushes in 1 year 8 months
machine-learning
Topopiccione/parSMURF-NG
Apr 2020 - Mar 2022
Contributions:13 pushes, 1 branch in 2 years
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