Freelancer profile translated to English.
Back to original languageAbout Guillo
Specializing in Machine Learning and computer vision, I offer my skills for demanding and innovative projects. I hold an engineering degree from ENSAE and a Master's degree in Mathematics, Visualization, and Learning from ENS.
Key Skills:
- Satellite image processing, geographic information systems (GIS),
- Implementation of model training and monitoring pipelines.
- Natural Language Processing (NLP), LLMs, RAG implementation
- Development and Deployment: Application deployment on Kubernetes, full-stack web development
- Statistical analysis, conducting statistical studies.
Typical Projects:
- Statistical analyses, dashboard implementation with KPIs.
- Provision of a building detection model on satellite images: from model training/monitoring to making its capabilities available on dynamically displayed images via a web application.
- Deployment and management of containerized applications on Kubernetes.
- Creation of complete web solutions, from front-end to back-end.
My approach combines solid technical expertise with the ability to deliver end-to-end solutions, from design to deployment.
If you are looking for a professional capable of supporting you in innovative projects in AI, image processing, or application development, do not hesitate to contact me to discuss further.
French
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- INSEE- GuadeloupeHead of Statistics DepartmentSeptember 2023 - Today (2 years and 9 months)Guyana- Management of INSEE agents, overseeing the coordination and execution of field operations for surveys- Development and application of deep learning algorithms for population census by processing thousands of satellite images of overseas territories (including Reunion Island and Mayotte)- Development of a web application to visualize and interact with segmentation model results to support population census estimates- Streamlining and automating production practices, coordinating all local teams- Design of an R training program, aimed at improving the skills of about twenty agents
- INSEEHead of Section: Spatial Statistics Methodology and Statistical SecrecySeptember 2020 - August 2023 (2 years and 11 months)Paris, France- Management of a team of 4 people and supervision of 3 interns specializing in satellite image analysis- Development of deep learning segmentation models achieving high accuracy in satellite image segmentation for land cover detection- Direction of the redesign of a geocoding system impacting 30 million address records- Design and implementation of an algorithm to ensure grid data privacy across France, handling differencing attacks and enabling large-scale data dissemination- Supervision of statistical disclosure control for 10 annual public INSEE surveys- Collaboration with European countries within working groups to harmonize spatial analysis and statistical disclosure control methodologies at the European level
- westatData ScienceJuly 2019 - September 2019 (2 months)- Analysis of imbalanced datasets to estimate occurrences of rare fish catches in recreational fishing on the US East Coast.
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Education
- Master Mathematics Visualization and LearningENS Cachan2020Machine-Learning, Deep Learning, Computer Vision
- Engineering degreeENSAE2020Data-science, Programmation (Python, R, C++), Machine-learning, Deep-learning