Currently in my second year of a Master’s degree in Data Science and Artificial Intelligence at University Rennes 2, I specialize in designing analytical models, automating data pipelines, and systems engineering. My profile combines strong quantitative expertise with solid hands-on skills in software development and infrastructure (DevOps/MLOps).
Technical Expertise
- Data Science & Artificial Intelligence: Python, R, Julia, MATLAB, SAS, Stata
- Data Engineering & Databases: SQL, NoSQL (MongoDB), Microsoft Power BI, Excel
- Infrastructure, DevOps & Private Cloud: Kubernetes, Docker, Linux
- Languages: French (Native/Bilingual), English (Fluent/Professional), German (Operational)
Projects & Technical Achievements
HomeLab & Private Cloud Infrastructure (Kubernetes / Docker)
- Objective: End-to-end design, deployment, and administration of a self-hosted infrastructure on refurbished hardware.
- Details: Implementation of a cluster to orchestrate containerized services ensuring high availability, data security, and automation of various workflows (Nextcloud, Jellyfin, Immich, Arr ecosystem).
- Stack: Kubernetes, Docker, Linux, System Administration.
LocalAI - Private & Local LLM Browser Extension
- Objective: Development of a browser extension allowing users to run state-of-the-art Large Language Models (LLMs) 100% locally.
- Details: Integration of optimized models (Llama 3.2, Qwen 2.5, Phi-3.5 Vision) with zero reliance on external APIs, ensuring total user data confidentiality through local hardware (GPU) acceleration.
- Stack: WebGPU, Web-LLM, JavaScript, Embedded AI.
Ligue 1 Mercato - Automated Sports Intelligence Agent
- Objective: Creation of an autonomous agent that detects and publishes official Ligue 1 football transfers in real-time on X (Twitter).
- Details: Design of a targeted web scraping pipeline on Transfermarkt with data extraction, dynamic formatting, and automated publishing via API, featuring strict handling of duplicates and environment variables.
- Stack: Python, Web Scraping, Twitter API, Automation.
Academic Background
- Master’s in Applied Mathematics, Statistics (MAS) — Data Science & Artificial Intelligence Track
University Rennes 2 | Sept. 2025 – Sept. 2027 - University Exchange — Mathematics and Statistics
Universität Potsdam (Germany) | 2024 – 2025 - Bachelor’s in Applied Mathematics and Computer Science for Social Sciences (MIASHS)
University of Rennes | 2022 – 2025
Contact & Links
- Portfolio: thomas-delaubier.fr
- LinkedIn: linkedin.com/in/thomas-delaubier
- GitHub: github.com/delaubier
- Email: thomas.delaubier@proton.me