About Lucas
French
Native or bilingual
English
Fluent
Experience
- BesignalAI EngineerSOFTWARE PUBLISHINGSeptember 2025 - Today (11 months)Paris, France
- Design and development of a complete AI agentic architecture in production.
- Specializing in tool calling, LLMOps, and integration of Large Language Models into client business systems.
- Building MCP (Model Context Protocol) servers to connect LLMs to APIs, databases, and internal tools.
- Implementing a multi-source Python RAG pipeline with embeddings (Weaviate).
- Multi-agent orchestration for complex workflow automation: extraction, synthesis, validation.
- Fine-tuning models for specific business use cases.
- Containerized deployment with monitoring, caching, and inference cost management.
- CdiscountMachine Learning EngineerE-COMMERCEAugust 2023 - August 2025 (1 year and 11 months)Bordeaux, France**Context**: Production deployment of ML models to optimize advertising performance.**Missions**:
- Production deployment and industrialization of machine learning models on the group's e-commerce platforms
- Building complete MLOps pipelines: experience tracking (MLflow), automated ML CI/CD (GitLab CI), containerized deployment (Docker/Kubernetes), performance monitoring with Prometheus and Grafana
- Optimization of inference costs and API latencies. Collaboration with data scientists to industrialize recommendation and pricing models
- Management of model drift in production (data drift, concept drift) with automated alerting
Stack: Python, MLflow, Docker, Kubernetes, Git, FastAPI, Prometheus, PostgreSQL, Luigi - QuantsUnitedMachine Learning EngineerBANKING AND INSURANCENovember 2021 - July 2023 (1 year and 8 months)Bidart, France
- Development of natural language processing solutions for the analysis of financial and legal documents
- Design of a long document summarization NLP pipeline with quality control
- Fine-tuning of transformer models (BERT, RoBERTa, LLMs) via PyTorch and Hugging Face for classification, extraction, and topic modeling
- Implementation of annotation, training, and evaluation pipelines. Industrialization of models via REST APIs deployed on cloud infrastructure
- Implementation of a Python RAG architecture for semantic search in document databases
Stack: Python, PyTorch, Hugging Face Transformers, FastAPI, Docker, LLM
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Education
- Master's degree, Data scienceENSAE Paris2021Mastère spécialisé, Data science
- Master's degree, Applied MathematicsUniversité Paris Dauphine2019Master, Mathématiques appliquées