Freelancer profile translated to English.
Back to original languageAbout Charles
Ph.D. and research engineer specialized in Artificial Intelligence and Operations Research, I help companies solve their most complex algorithmic challenges.
My expertise lies at the intersection of advanced Data Science and constrained optimization. I primarily work on designing decision support systems, preference modeling, and creating highly scalable algorithms.
Why work with me?
- Cutting-edge Expertise : Advanced mastery of Constraint Programming (CP) and multi-objective optimization to model complex and interconnected criteria.
- Dual Culture (R&D / Industry) : Capable of translating a complex scientific problem into a robust, tested, and production-ready industrial prototype.
- Full-Stack Data Profile : I don't just model, I develop and deploy my solutions (Python, Java, Docker, PostgreSQL).
My areas of intervention
- Design of contextual and intelligent Recommendation Systems.
- Combinatorial optimization and Operations Research (Logistics, Supply Chain, Resource Allocation).
- Analysis and predictive modeling of time series (IoT / Energy projects).
- Applied R&D and custom algorithm architecture.
Collaboration and R&D contexts: Continental, ETX Studio, APHEEN.
Let's discuss your project to transform your technical constraints into business opportunities!
French
Native or bilingual
English
Fluent
Can work on-site
Metz (up to 50km)
Experience
- LIRMM (Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier)Expert R&D Engineer AI - Recommendation Systems & Preference ModelsRESEARCHFebruary 2024 - November 2025 (1 year and 9 months)Montpellier, France
- Design and development of constraint learning methods to finely model user preferences.
- Creation of an advanced contextual recommendation system integrating multiple dynamic variables (weather, type of journey, environment, time constraints).
- Direct industrial collaboration withContinental(embedded systems) andETX Studio(audio media) within an applied R&D framework.
- Development and deployment of a complete prototype (Java, Python, PostgreSQL, Docker) demonstrating the industrial viability and feasibility of the solution.
- Key Skills : Applied AI, Contextual Recommendation Systems, Preference Modeling, Backend Architecture, Docker.
- IMT AtlantiqueAI Research Engineer - Multi-Objective Optimization & Constraint Programming (Ph.D.)RESEARCHOctober 2020 - September 2023 (2 years and 11 months)Nantes, France
- Research and development of decision support algorithms based on preference modeling and multi-objective optimization.
- Design of a highly scalable constraint optimization model (CP) to automatically identify the best possible configurations (Pareto front / non-dominated solutions).
- Creation of advanced Data Mining tools to extract logical rules and business knowledge from complex data volumes (surpassing standard market approaches).
- Mathematical modeling of interconnected criteria (using fuzzy/Choquet integral approaches) to refine the accuracy of complex decision support systems.
- Architecture and complete development of a Java library named Choco mining for data mining (based on Choco-solver), integrating generic, modular, and industrialization-ready constraints.
- Tech & Tools : Java, Python, Choco-solver, Constraint Programming (CP), Data Mining, Machine Learning, Operations Research.
- Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA)Data Science Engineer - Time Series Prediction & IoT (Master's Internship)ENERGY AND UTILITIESApril 2020 - August 2020 (4 months)Nancy, France
- Development of an artificial intelligence predictive model in collaboration with APHEEN to anticipate the evolution of indoor building temperatures.
- Analysis, cleaning, and preprocessing of complex time series from connected sensors (IoT): temperature, humidity, and exogenous weather data.
- Algorithm benchmarking and design of a Deep Learning architecture based on recurrent neural networks (RNN / LSTM) for multi-sensor prediction.
- Validation of the model's industrial feasibility for concrete energy optimization applications (intelligent control and heating cost reduction).
- Tech & Environment : R, Matlab, Python (Data Processing), Time Series, Deep Learning (RNN), IoT / Sensors, Energy Efficiency.
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Education
- Ph.D. in Artificial IntelligenceIMT Atlantique2023
- Master MIAGE (Information Systems Engineering and Management)University of Lorraine2020Mention bien