Description

I’m a Machine Learning Engineer with strong software engineering foundations, passionate about building intelligent solutions that solve real-world problems. From model development to end-to-end deployment, I bring a problem-solving mindset and the technical depth to turn data into action.

Domaines d’expertise

Langues

Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Espagnol
Capacité professionnelle limitée
Arabe
Bilingue ou natif
Chinois
Notions

Préférences en matière de lieu de travail

Accepte de travailler sur site

Paris (jusqu’à 50 km)

BNP Paribas
Machine Learning Engineer
BANQUE & ASSURANCES
septembre 2025 - Aujourd'hui (9 mois)
Paris, France
- Design, develop, and deploy advanced Deep Learning models (NLP & Computer Vision) within production-grade MLOps pipelines.
- Build and maintain CI/CD pipelines to accelerate ML workflows, ensuring reproducibility, scalability, and continuous delivery.
- Promote best practices across the ML lifecycle, including model versioning, automated testing, and workflow automation.
Python MLOps DVC MLflow Langchain
Upciti
Machine Learning Engineer
SECTEUR PUBLIC & COLLECTIVITÉS
septembre 2022 - juillet 2025 (2 ans et 10 mois)
Paris, France
Real-time edge-based computer vision applied to smart cities:
- Designed and implemented end-to-end MLOps pipelines for data management, model training, validation, and deployment.
- Plan, run and analyze experiments to select AI models/approaches reaching performance and quality goals.
- Development and deployment of optimized computer vision packages on embedded devices following best practices.
- Contributions to internal APIs and tools.
- Supervised an internship on a bulky waste detection project, providing direction on research, data collection, model selection and optimization.

Skills: Object detection & tracking, Pytorch, OpenCV, Minio (AWS S3 like), MLflow, Airflow, DVC, Rust, Python, FastAPI, PostgreSQL, Docker, Gitlab CI, Ansible.

Python MLOps Rust Computer Vision Pytorch
Coddity
Data & Software Engineer
TÉLÉCOMMUNICATIONS
janvier 2020 - septembre 2022 (2 ans et 8 mois)
Paris, France
Data mining for decision making applied to telecommunications services at SFR (french telecommunications company):
- Run experimentation of fraud detection models/approaches on payments through telco operator bill.
- Development of a software to monitor and optimize the management of technical interventions.

Skills: Python, PostgreSQL, Flask, Scikit-learn, Spark, ElasticSearch, Kibana.
Python PostgreSQL FastAPI Machine learning Elastic Stack (ELK)