Matthieu Ospici
R&D Machine Learning Deep Learning at HOMIWOO
Grenoble, Auvergne-Rhône-Alpes, France
Summary
👤
Senior🎓
Top SchoolMatthieu Ospici is an R&D machine learning and deep learning engineer with a PhD in computer science and over a decade of experience building high-performance vision systems and parallel software. He has designed and productionized TensorFlow-based CNNs for text recognition and re-identification, integrated into real-time video analysis pipelines demonstrated at NIPS and protected by two patents. His background in HPC—CUDA, OpenMP, MPI and heterogeneous architectures—drives efficient model training and deployment on GPU clusters and embedded systems. Comfortable in Python, C++, and low-level optimization, he excels at bridging research and engineering to deliver scalable, latency-sensitive solutions. Based in Grenoble, he pairs academic rigor with hands-on system-level work, from developing profilers and multi-GPU libraries during his PhD to leading AI R&D in industry.
10 years of coding experience
11 years of employment as a software developer
Master's degree, exchange student (ERASMUS), Sweden, Computer science, Master's degree, exchange student (ERASMUS), Sweden, Computer science at Linköpings universitetDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Université Joseph Fourier (Grenoble I)certification, Data science, certification, Data science at Universität Passau
French, English, Italian
Github Skills (12)
robotics4
reorder3
classification3
procedural-generation3
multiclass-classification3
tensorflow2
machine-learning2
deep-learning2
keras2
computer-vision2
ai1
scaling1
Programming languages (1)
Github contributions (5)
matthieuo/emacs-configuration
Apr 2020 - Dec 2024
Contributions:23 pushes, 2 branches in 4 years 8 months
matthieuo/dl-classification
Mar 2017 - Apr 2017
Contributions:23 commits, 1 PR, 20 pushes in 15 days
deep-learningmachine-learningmulticlassmulticlass-classificationtensorflow
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