À propos de Thomas
Hello,
I am a freelance developer with experience managing projects from start to finish. My work covers:
- Data handling: Recovery, storage, and processing.
- Machine Learning: Designing, training, evaluating, and optimizing models.
- Deployment: Using Docker, REST APIs, and CI/CD to ensure stability and scalability, including support for active learning.
You can check out my resume and project demos at thomasportier.com.
On my website, you'll find several demos—two focused on NLP and two on Computer Vision.
I've also developed three open-source libraries, available on my Git:
- - -
Looking forward to connecting!
Thomas Portier.
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Accepte de travailler sur site
Chambéry (jusqu’à 50 km), Paris (jusqu’à 20 km), Genève (jusqu’à 50 km), Grenoble (jusqu’à 50 km), Lyon (jusqu’à 50 km)
Expériences
- EPIAI engineerBANQUE & ASSURANCESfévrier 2026 - juin 2026 (4 mois)Berlin, AllemagneEngineered custom Atlassian Rovo agents and automated workflows within Jira and Confluence, significantly reducing manual overhead and accelerating cross-functional delivery times.Architected a centralized LLM knowledge base by synchronizing disparate data sources—including GitHub and ReadMe—ensuring high-fidelity context for retrieval-augmented generation (RAG).Developed an automated web scraper integrated with an LLM classifier to dynamically categorize merchants, streamlining compliance and data accuracy.
- GlaneAI EngineerHIGH TECHseptembre 2025 - février 2026 (5 mois)Paris, FranceEngineered a full-stack, multi-agent AI platform designed to automate the extraction and analysis of public tender data.Core AI Infrastructure: Architected and deployed advanced AI pipelines utilizing Retrieval-Augmented Generation (RAG), multi-agent orchestration, and Model Context Protocol (MCP).Full-Stack Development: Built the entire application ecosystem from scratch, including a responsive front-end, secure user authentication, and robust back-end systems with data persistence.Commercialization: Integrated a seamless payment and subscription workflow to transition the platform into a production-ready SaaS product.
- BNP ParibasData scientist NLPBANQUE & ASSURANCESseptembre 2023 - août 2025 (1 an et 11 mois)Paris, France
Achievements
Spreadauto Project:Spreadauto automates financial data processing by detecting and organizing financial tables using NLP. Key improvements include:Data Extraction: Identifies and extracts financial tables from reports.Code Upgrade: Migrating to a newer Python version for better performance.Model Enhancement: Retraining models for improved accuracy.Automation & Scalability: Using Docker & Kubernetes for efficient deployment.Valuation Report ProjectThis project automates financial data extraction and improves scalability. Key components include:High-Performance System: Runs on 4 Nvidia A100 GPUs inside a Docker container.Data Extraction: Uses LLM with RAG to analyze financial reports.API & Database: REST API for data access and storage.Automation & Scaling: Managed with Jenkins, Ansible, and Kubernetes for seamless operation.Both projects aim to streamline financial data handling, reduce manual effort, and improve accuracy.
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Formations
- Diplôme d'ingénieur en géophysique, Géophysique et séismologieEcole et Observatoire des Sciences de la Terre - EOST2016Diplôme d'ingénieur en géophysique, Géophysique et séismologie
- Master Administration des Entreprises Alsacetech Master's degree (~MBA), Economie, finance, marketing, gestion de projets & managementEM STRASBOURG BUSINESS SCHOOL2017Master Administration des Entreprises Alsacetech Master's degree (~MBA), Economie, finance, marketing, gestion de projets & management
Certifications
- Crédit d'Impôt Innovation (CII)DRIEETS d'Île-de-France