Antoine Guedon

Design Engineer at ALTEN Technology

Paris, Ile-de-France
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Summary

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Antoine Guedon is a design engineer based in Paris with three years of hands-on experience bridging software development and automotive systems engineering. He has worked across infotainment, steering controls, connected services and emergency call systems at ALTEN Technology, bringing strong skills in specification, design convergence and adaptability across projects. His background includes Java and Ada development, Eclipse RCP applications, and image processing research from stints at Thales, ALYOTECH and Altran, reflecting both practical delivery and academic rigor. As a PhD student in computer vision with the Imagine team (LIGM, ENPC, CNRS), he blends research-level insight with product-focused engineering. Colleagues value his ability to translate complex technical requirements into validated deliveries and user-facing documentation. Notably, he pairs systems-level thinking in automotive contexts with a researcher's curiosity about visual computing.
code3 years of coding experience
job1 year of employment as a software developer
bookMaster's degree, Computer Science and Telecommunication, Graduate, Master's degree, Computer Science and Telecommunication, Graduate at Université de Poitiers
bookAdvanced Technology (CAT), Computer Science and Electronics, Graduate, Advanced Technology (CAT), Computer Science and Electronics, Graduate at Université de Nantes / University of Nantes
languagesEnglish
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Github Skills (11)

mesh10
neural-rendering10
rendering10
siggraph9
3d9
pytorch8
3d-reconstruction8
editable6
animation5
deep-learning5
computer-vision5

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

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Anttwo/Anttwo.github.io

Jun 2023 - Jun 2026

Contributions:100 pushes, 1 branch in 3 years
Anttwo/SCONE

Oct 2022 - Nov 2022

(NeurIPS 2022 - Spotlight) Official code of SCONE: Surface Coverage Optimization in Unknown Environments by Volumetric Integration
Contributions:8 commits, 8 pushes, 1 branch in 1 month
3d-reconstructioncomputer-visiondeep-learningneurips-2022neurips2022
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