MQFreelancer profile translated to English.
Back to original languageAbout Matthieu
I am anArtificial Intelligence Engineerspecialized in the development and optimization of AI-oriented models. I work with companies to transform their data into operational, rapidly deployable solutions. I have completed numerous personal projects in AI and participated in Machine Learning competitions on the Kaggle platform.
💡 How I can help you:
- Development of POCs (Proof of Concept) for your models or data pipelines
- Optimization of your existing models to improve performance and robustness
- Development of predictive models for time series, clustering, or vision
- Implementation of RL solutions or complex process optimization
- Data visualization
Available for short or long missions, I adapt to your needs to deliver operational and immediate results.
I have worked on various projects in sectors such as **medical**, **aerospace**, and **robotics**, and I am open to exploring new fields. My goal is to apply my AI skills where they can bring a concrete impact, regardless of the sector.
French
Native or bilingual
English
Fluent
German
Conversational
Italian
Basic
Can work on-site
Toulouse (up to 50km)
Experience
- ENACResearch EngineerAVIATION AND AEROSPACEFebruary 2024 - Today (2 years and 4 months)Toulouse, France*Designand development of intelligent tools for automated supervision of ground air traffic, integrating data-driven approaches and decision-making models.*Developmentof advanced algorithms for spatio-temporal conflict detection between aircraft in a highly constrained environment.*Implementationof trajectory prediction models from operational data, for anticipating risky situations and aiding decision-making.
- Closecollaborationwith researchers and engineers for prototyping and validation of AI solutions applied to critical air transport systems.
- National Institute of Advanced Industrial Science and Technology (AIST)Research Assistant at CNRS-AIST JRL (Joint Robotics Laboratory)TECHFebruary 2023 - August 2023 (6 months)Tsukuba, Ibaraki Prefecture, Japan
- Development of an innovative method for robotic arm control based on the extraction and exploitation of feature maps from deep neural networks.
- Design of a visual servoing system using images acquired by the robot's onboard camera, enabling precise and robust control in a real-world environment.
- Writing and publication of a scientific paper, presenting the proposed method and its experimental results, accepted into an international conference on robotics and computer vision.
- Thales Alenia SpaceEngineer in Satellite Payload Test OptimizationAVIATION AND AEROSPACEJune 2022 - September 2022 (3 months)Toulouse, France
- Development of an optimization algorithm for satellite payload electrical test paths, aiming to reduce the duration and complexity of validation campaigns.
- Modeling the problem as a constraint programming problem, combined with artificial intelligence approaches to efficiently explore the solution space.
- Implementation of a robust and industrializable solution, taking into account the physical, functional, and operational constraints of space systems.
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Education
- Computer Science Engineering DegreeInstitut National des Sciences Appliquées (INSA) Toulouse2023Diplôme d'ingénieur en Informatique, avec une spécialisation en systèmes distribués et Intelligence Artificielle
- Master's degree in Computer SciencesPolytechnique Bari2022Semestre d'études en Italie à Polytechnique Bari dans le cadre du programme Erasmus. Cours suivis en IA, Big Data, et Informatique
Certifications
- Machine LearningStanford University2023