01/09/2026 updated
100 % available
Remote Sensing Engineer & Geomatics Specialist
AIX-EN-PROVENCE, France
Only remote
Valedictorian in Remote Sensing Engineering, currently pursuing an M.Sc. in Geomatics TIGER ScholarAbout me
Remote Sensing/GIS Engineer (Valedictorian). Expert Spatial AI, Deep Learning (LSTM) & Predictive Modeling. Proficient in ArcGIS, QGIS, Python, GEE. Ready for High-Level Geospatial Engineering, Network & Risk Missions. Status: Independent Consultant via ITG Portage Salarial.
C (Programming Language)HTMLJavaScriptComputer-Aided DesignAdobe PhotoshopAdobe Photoshop LightroomData AnalysisArcGIS (Software)Artificial Neural NetworksCascading Style Sheets (CSS)Computer ProgrammingGeodesyGeomaticsGeospatial AnalysisGoogle Earth
Remote Sensing Technologies
Expertise in geodesy, space techniques, remote sensing technologies, and GIS with practical field experience
Programming and Data Processing
Proficiency in C, Matlab, Python, Html, Css, JavaScript for technical applications and data analysis
Geospatial Analysis and Modeling
Advanced skills in image processing using Google Earth Engine, ENVI, TerrSet, ArcGIS, QGIS for spatial modeling
GNSS Equipment Operation
Handling of GNSS equipment including Trimble R10, net R9, and processing data for accurate positioning
Design Software Proficiency
Experience with Canva, Adobe Photoshop, Adobe Lightroom for visual design and image editing
Office Automation
Microsoft Office Pack proficiency for documentation and presentation tasks
Machine Learning Applications
Deep learning neural network implementation with LSTM and attention mechanisms for predictive modeling
Simulation and Modeling
Cellular automaton coupled with Monte Carlo simulations for spatio-temporal modeling
Expertise in geodesy, space techniques, remote sensing technologies, and GIS with practical field experience
Programming and Data Processing
Proficiency in C, Matlab, Python, Html, Css, JavaScript for technical applications and data analysis
Geospatial Analysis and Modeling
Advanced skills in image processing using Google Earth Engine, ENVI, TerrSet, ArcGIS, QGIS for spatial modeling
GNSS Equipment Operation
Handling of GNSS equipment including Trimble R10, net R9, and processing data for accurate positioning
Design Software Proficiency
Experience with Canva, Adobe Photoshop, Adobe Lightroom for visual design and image editing
Office Automation
Microsoft Office Pack proficiency for documentation and presentation tasks
Machine Learning Applications
Deep learning neural network implementation with LSTM and attention mechanisms for predictive modeling
Simulation and Modeling
Cellular automaton coupled with Monte Carlo simulations for spatio-temporal modeling
Experience
Professional experience0 - 5 years
Freelancer since2025
Languages
EnglishFluentFrenchNative speaker
Project history
Explored various real-world themes and challenges in space applications. Actively participated in training sessions and discussions with experts, enhancing understanding of technical and operational issues in remote sensing and space technologies.
During my remote sensing internship, I contributed to the analysis and processing of satellite imagery using various geomatics tools. I primarily used Google Earth Engine for the collection and processing of large spatial datasets, as well as for the computation of vegetation indices and land use/land cover change monitoring. I also used ArcGIS for mapping and result visualization, and ENVI for radiometric and spectral image processing. This internship enabled me to strengthen my skills in geoanalysis, geospatial programming, and satellite data interpretation.
Certificates
State Engineer Diploma
The Higher School of space Techniques2025