Freelancer profile translated to English.
Back to original languageAbout Thomas
🚀 ConsultantData Engineerspecializing in the design of **data platforms**, industrialization of **AI solutions (MLOps)**, and development of **business applications**.
I help companies design solutions covering the entire data value chain:collection, ingestion, data architecture, process automation, visualization, and production deployment.
During my assignments, I have notably developed data analysis platforms and AI infrastructures for major sports organizations, such as **FIFA**, **professional football clubs**, and the **French Judo Federation**.
🌟 What I offer:
📊 **Architecture & Data Engineering**: Data architecture design, development of ingestion and processing pipelines, database modeling, and data source integration.
🤖 **AI Industrialization (MLOps)**: Deployment, orchestration, and automation of AI processing pipelines for production environments.
💻 **Data Applications**: Development of web applications and interactive dashboards to facilitate data exploitation and visualization.
☁️ **Infrastructure & Deployment**: Containerization, CI/CD, compute environment administration, and data platform production deployment.
⚒️ Skills
Languages: Python • SQL • JavaScript • R
Data Engineering: SQL Server • PostgreSQL • MySQL • Apache Airflow • ETL • APIs
Development: Streamlit • FastAPI • Vue.js • Node.js • Express.js
DevOps: Docker • Kubernetes • Git • GitLab CI/CD
🔍 Available for freelance missions in Data Engineering, MLOps, and data application development, remotely.
📩 Contact me today to discuss your needs!
French
Native or bilingual
English
Conversational
Spanish
Conversational
Remote only
Primarily works remotely
Experience
- INSEPML Platform EngineerSPORTSJune 2025 - June 2026 (1 year)Paris, FranceObjective**: Design and deploy the **technical infrastructurefor anautomatic annotation platformfor judo combat videos for theFrench Judo Federationusing **AI**.📥Ingestion Application**: Development of a **Streamlitinterface for video upload, retrieval offight metadata via API**, user authentication, and file storage in an **S3 bucketvia anNFSlink.🗄️Data Architecture**: Design of a **SQL Serverdatabase to centralize video indexing, fight metadata, and **AI model-generated annotations**.⚙️Process Orchestration**: Design of **Apache Airflowworkflows to automate the **annotation pipeline**: triggering **Docker**-containerized AI models, managing **CPU/GPU resources**, file transfers, populating the database, and sending completion notifications.📊Visualization Applications**: Development of a **Streamlitapplication tovisualize AI-generated annotationsandanalyze performanceof athletes through interactive dashboards and **combat sequence visualization**.🚀Infrastructure & Deployment**: Setup and administration of the **compute infrastructurededicated to AI processing (storage management, GPU resources, and performance), containerizing services with **Docker**, automating deployments via **GitLab CI/CD**, and orchestrating on **Kubernetes**.
- Observatoire du football CIESDevelopment of a web application for the analysis of football performance and dataSPORTSSeptember 2021 - March 2022 (6 months)Neuchâtel, SwitzerlandObjective:Design aweb applicationfor football club sporting directors, offering tools to assist the recruitment department in player detection and analyze team playing styles.🎨Front-end**: User interface development with **Vue.js**, **Bootstrap**, and **Tabulatorfor a smooth and responsive user experience.🛠️Back-end**: Server design with **ExpressandNode.js**, integration of a **MySQLdatabase for efficient management of club and player data.🔒Security**: Implementation of a secure authentication system via **API**, management of **cookiesandtokensto ensure data confidentiality.☁️ **Deployment**: Application deployment on a web server at **PlanetHoster**, ensuring reliable and secure access.
- Observatoire du football CIESDevelopment of a web application for FIFASPORTSMarch 2022 - September 2022 (6 months)Neuchâtel, SwitzerlandObjective**: Develop a **web applicationfor FIFA, providing an overview of squad composition and the performance of national teams and leagues.🎨Front-end**: User interface development with **Vue.js**, **Bootstrap**, and **Tabulatorfor a smooth and responsive user experience.🛠️Back-end**: Server design with **ExpressandNode.js**, integration of a **MySQLdatabase for efficient management of national team and league data.🔒Security**: Implementation of a secure authentication system via **API**, management of **cookiesandtokensto ensure data confidentiality.☁️Deployment**: Application deployment on a **web serverat PlanetHoster, ensuring reliable and secure access.
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Education
- University Diploma of Technology in Information Technology for Management (STID)Université Grenoble Alpes2018Analyse des données Modèle linéaire Exploitation de données Developpement logiciel et technologies web Système d’information décisionelle Programmation statistique Data mining
- Bachelor's degree in Mathematics and Computer Science applied to Social Sciences (MIASHS)Université Grenoble Alpes2019