Simon Artzet
AI Engineer at Neuronalys
Montpellier, Occitania, France
Summary
👤
Senior🎓
Top SchoolSimon Artzet is an AI engineer with 11 years of experience building and deploying computer vision and deep learning systems across academia and industry. He has led small multidisciplinary teams to productionize real-time instance segmentation and scene reconstruction for embedded retail systems and now applies his expertise at Neuronalys. His research background in plant phenotyping and LiDAR-based 3D object detection demonstrates strength in high-performance computing, large-scale data pipelines and novel 3D segmentation methods like RandLa-Net. Skilled in Python, C/C++, TensorFlow/Keras and cloud/HPC environments, he connects research-grade models to robust production workflows including CI/CD and reproducible deployments. Notably, he has moved from low-level MRI imaging algorithms to agriculture and retail use cases, evidencing rare domain adaptability and a track record of shipping end-to-end solutions. Based in Montpellier, he blends an academic publication record with hands-on engineering to tackle practical perception problems.
10 years of coding experience
9 years of employment as a software developer
Brevet de technicien supérieur (BTS) IRIS - Technician certificate in computer science and network for industry and service, Brevet de technicien supérieur (BTS) IRIS - Technician certificate in computer science and network for industry and service at Pablo Picasso High SchoolEngineer's degree Data Science and Artificial Intelligence, Engineer's degree Data Science and Artificial Intelligence at EPITA: Ecole d'Ingénieurs en Informatique
French, English
Github Skills (49)
programming-language10
artificial-intelligence10
python10
data-science10
classification10
architecture10
pointnet10
machine-learning10
ml10
automatic10
deep-learning10
tensorflow10
segmentation10
deep-neural-networks10
interception10
Programming languages (5)
Github contributions (5)
openalea/phenomenal
Jul 2015 - Feb 2020
Phenomenal: An automatic open source library for 3D shoot architecture reconstruction and analysis for image-based plant phenotyping
Contributions:401 commits, 5 PRs, 30 pushes in 4 years 8 months
plantreconstructionphenotypingplant-basedshoot
openalea/eartrack
Sep 2017 - Mar 2018
An imaging library to detect and track future position of ears on maize plants
Contributions:54 commits, 14 PRs, 10 pushes in 5 months
positionpythonplantsimagingmaize
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