An AI project to scope, integrate or industrialize?

I work on GenAI assistants, RAG systems, tool-enabled AI agents, system integrations, LLM serving, AWS architectures, MLOps and LLMOps practices, as well as Machine Learning & Data projects. The scope can range from one specific technical blocker to an end-to-end build.

Yes. I can scope the need, prototype, build, integrate, deploy and then harden operations: testing, security, CI/CD, observability and documentation.

We first agree on the objective, the constraints, the scope, the workload, the deliverables and the working rhythm. The engagement then moves in short steps, with regular check-ins, documented trade-offs, tested code and usable documentation.

I work remotely, hybrid or on-site depending on the engagement. Travel outside the Paris region is quoted separately and agreed upfront.

Access is limited to what is strictly necessary and the architecture is matched to how sensitive the data is. Secrets, permissions, data flows, storage, logs and traces are all controlled according to the project's security requirements.

Both. I work on AWS as well as on private, on-premise or isolated infrastructure. The choice depends on security, sovereignty, cost, performance and operational constraints.

My reference daily rate is €550 excl. VAT. The total budget is defined in a proposal based on the agreed scope and number of days, whether for a targeted assignment, team reinforcement or an end-to-end project.