About Timothée
- Machine Learning & Deep Learning: supervised, unsupervised, and reinforcement learning – MLP, RNN, CNN, Transformers
- Computer Vision & NLP: image processing (OpenCV, CNN), natural language processing (NLTK, Transformers), knowledge-based systems
- Data Analysis & Visualization: PowerBI, Matplotlib, Seaborn
- Optimization & Operations Research: linear, combinatorial, heuristic optimization, constraint programming
- Languages & Frameworks: Python, Java, C/C++, PHP, SQL – PyTorch, TensorFlow, Keras, Scikit-learn, Hugging Face, Flask, MLflow, Langchain
- Cloud & Deployment: Google Cloud Platform (GCP), Amazon Web Services (AWS), API development.
French
Native or bilingual
English
Fluent
Experience
- PRAVDATAAI/ML EngineerDIGITAL AND ITMarch 2026 - Today (3 months)Angers, FranceEngineering in artificial intelligence and machine learning applied to various AI projects. Involved in the design, development, and deployment of predictive models. Areas of expertise include predictive maintenance, anomaly detection, failure prediction, and price forecasting using historical and contextual data. Utilizes advanced data science approaches and machine learning models to transform data into actionable insights, aiming to improve system reliability, anticipate failures, and optimize business decisions.
- Self-StorageAI/ML EngineerDIGITAL AND ITJanuary 2025 - May 2025 (4 months)Montréal, CanadaAutomation of object detection, 3D modeling, and dimension estimation from images for storage purposes. This system eliminates manual data entry and database limitations. All new objects are compatible through automatic 3D model generation. Complete workflow executed in 3 minutes, using Machine Learning, Deep Learning, LLM, and advanced 3D modeling techniques. This solution significantly optimizes processing time, reducing the time required to manage large volumes of items to be stored by over 75%.Development and deployment of solutions via API on Google Cloud Platform, ensuring scalability, high availability, and seamless integration with existing data workflows.
- LimagrainAI/ML DeveloperDIGITAL AND ITMarch 2024 - August 2024 (6 months)Angers, FranceLed an R&D project using agile CPMAI methodology, covering the entire development cycle from understanding needs and data collection to model evaluation and optimization. Conducted in-depth literature research to guide technical and methodological choices.Designed and developed an AI-based decision support system for detecting labels on seed bags in an industrial environment. Implemented a deep learning algorithm for object detection, complemented by machine learning and image processing approaches for anomaly detection.Addressed strict real-time constraints in a moving production context. Set up and configured image capture hardware (cameras), and developed a dedicated user interface.Collaborated closely with multidisciplinary teams to clarify functional requirements and ensure a solution aligned with business needs.
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Education
- Master of Computer ScienceUniversity of Angers2024Intelligence artificielle
- Bachelor of Computer ScienceUniversity of La Rochelle2022
Certifications
- Microsoft Data VisualizationMicrosoft