Summary
Etienne Boisseau is a Data Scientist and Machine Learning Engineer based in Paris with eight years of experience delivering production-grade NLP and AI systems across finance, logistics, and industry. He combines hands-on engineering—building CI pipelines, Python libraries and a widely used RAG framework at BNP Paribas—with deep research skills from ENSAE/Paris‑Saclay to optimize large-scale inference and reduce costs by up to 6x. As a longtime freelancer and former startup co-founder, he excels at translating ambiguous business needs into robust, monitored pipelines that guarantee reliability (including zero‑false‑negative incident detection). His work spans model optimization (quantization, distillation, pruning), retrieval-augmented agents, and practical evaluation frameworks to ensure trustworthy deployments. Comfortable moving between prototyping and enterprise rollouts, he brings an uncommon focus on software engineering practices in ML projects that makes models reproducible, auditable and maintainable.
8 years of coding experience
2 years of employment as a software developer
Master's degree Artificial Intelligence, Master's degree Artificial Intelligence at ENS Paris-Saclay
Master's degree Statistics and Data Science, Master's degree Statistics and Data Science at ENSAE Paris
Master's degree Management, Master's degree Management at ESCP Business School
Master 1 Mathematics, Master 1 Mathematics at University of Paris I: Panthéon-Sorbonne
French, English, German