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💼 I am an AI engineer with 5+ years of experience in data science.
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🤖 I worked with a large variety of methods such as 3D and 2D computer vision, NLP, bioclinical data clustering, predictive modelling.
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🌍 I was AI Engineer at the French Mapping Agency (IGN) and built their software and methods to do 3D deep learning: from dataset creation to nation-wide Lidar semantic segmentation.
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❤️ I like python and building well-thought AI systems: machine learning is not all about the model!
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📫 You can reach out via my LinkedIn profile, or ask me anything in Github here
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Charles Gaydon CharlesGaydon
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I work with deep learning as a R&D engineer.
Feel free to reach out (Linkedin)!
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IGNF/myria3d
IGNF/myria3d PublicMyria3D: Aerial Lidar HD Semantic Segmentation with Deep Learning
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IGNF/StrataNet2-Vegetation-Coverage-Maps
IGNF/StrataNet2-Vegetation-Coverage-Maps Public archivePrediction of vegetation coverage maps from High Density Lidar data, in a weakly supervised deep learning setting.
Python 5
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dataforgoodfr/batch7_rse
dataforgoodfr/batch7_rse Public archiveA search engine for French corporate societal and environnemental commitments and actions.
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IGNF/lidar-prod
IGNF/lidar-prod PublicA production AI brick that augments a rule-based Lidar classification with AI predictions and vector database.
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Dater-to-Vec
Dater-to-Vec Public archiveCollaborative filtering in dating. A NLP-based user embedding approach inspired from Tinder's TinVec.
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Electric-Vehicle-Charge-Optimization
Electric-Vehicle-Charge-Optimization Public archiveSimplified electric vehicle charge optimization based on Hoke (2011).
128 contributions in the last year
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