Freelancer profile translated to English.
Back to original languageAbout Nil
Based in Paris with over 3 years of experience, I help companies automate their processes and create intelligent products. My dual expertise in software engineering and artificial intelligence allows me not only to design complex models but, more importantly, to deploy them end-to-end in ready-to-use web applications.
My areas of intervention
• AI Agents & Agentic RAG: Development of autonomous virtual assistants that intelligently query your internal databases to provide precise answers tailored to your business context.[ibm]
• Intelligent OCR: Automated extraction of structured information from your documents by combining optical recognition and generative AI to significantly reduce manual data entry.[parthena]
• Computer Vision: Design of real-time object detection algorithms and custom image processing (YOLO, OpenCV).
• End-to-end Development: Creation of modern interfaces (React, Next.js) and robust backend architectures (Python, Azure) to host your AI solutions.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- Projet personnelComputer Vision EngineerSPORTSJune 2026 - Today (2 months)Paris, FranceDevelopment of a chess piece recognition project using YOLO and AKAZE, with automatic piece detection on images. This project demonstrates expertise in computer vision, visual problem modeling, and the implementation of an inference pipeline focused on classification/detection.
- FreelanceFreelance Data Engineer / Data AnalystREAL ESTATESeptember 2025 - Today (11 months)Paris, FranceReal EstateSaaS application for managing and consolidating business data, integrating entity resolution mechanisms to ensure reliable matching and unification of repositories. Development of the front-end in React / Next.js / TypeScript / Tailwind CSS, with real-time communication via WebSockets to enhance user experience. Implementation of a unified data platform on Azure, exposed via FastAPI, then containerized and deployed with Docker.RecruitmentDesign of a multi-inbox ingestion flow via IMAP, with OCR extraction, content deduplication, and secure data storage. Development of a semantic matching engine combining GPT LLM and ChromaDB to efficiently match profiles, applications, and business needs. Integration of an MCP to facilitate the orchestration and exposure of functionalities in a coherent application environment.Plumbing TradeDevelopment of a demand/product matching engine in Python, based on a hybrid approach combining BM25Okapi, TF-IDF, and a fine-tuned mpnet model. The objective was to improve the relevance of search and matching results on a business catalog. Implementation of a CI/CD pipeline and Docker containerization to ensure reliable deployments and industrialization.
- ASTEK3D Data and Computer Vision Engineer MissionTRANSPORTATIONFebruary 2022 - September 2024 (2 years and 7 months)Paris, FranceInnovation in automatic object detection with OpenCV on a proprietary image format – patent filed.Microsoft Azure Explorer for data storage and management.Design and automation of CI/CD pipelines with Git, Jenkins, and Docker.Object recognition in 3D point clouds (LIDAR) using 3D descriptors.Continuous improvement and documentation (Confluence) of a codebase. Technical coordination on large-scale projects, in conjunction with clients and external industrialization teams.
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Education
- EngineerCPE2021Diplômé de l’école d’ingénieur CPE Lyon au terme d’un cursus axé sur le traitement d’images, la programmation (Python, C, Matlab) et les méthodes avancées de filtrage, détection, segmentation et reconnaissance d’images. Réalisation de projets techniques, tels que la reconstruction 3D à partir de photographies à l’aide de descripteurs SIFT et ORB, développant ainsi une solide expertise en algorithmie, analyse d’images et informatique scientifique.
- University DegreeUniversity of Burgundy2022Spécialisation en IA appliquée au domaine médical. Formation multidisciplinaire axée sur les enjeux éthiques des données de santé et le développement collaboratif en équipe. Réalisation d’un projet ambitieux de détection et de segmentation automatique des structures cardiaques sur IRM avec un modèle U-Net, consolidant mes compétences en intelligence artificielle, traitement d’images médicales et travail en mode projet.
Certifications
- C1 AdvancedCambridge English Language Assessment2021