Summary
Yohann Brédoux is a Staff Data & AI Engineer with 12+ years building enterprise-scale, cost-conscious data and ML platforms—currently driving AI-driven automation and near-real-time architectures at Sanofi. He blends deep distributed systems and MLOps expertise with a developer-productivity mindset, having redesigned platforms to cut TCO ~30%, industrialized ML workflows, and pioneered an internal credential rotation framework now adopted company-wide. Comfortable in regulated, cross-cultural environments, he has led teams delivering billion-dollar-impact analytics (Marketing Mix Modeling) and presented on Snowflake Dynamic Tables at Snowflake Summit. Yohann’s recent work focuses on LLM-driven agents to automate multi-repo infrastructure and encode deployment procedures, targeting large reductions in onboarding effort and operational entropy. He pairs a pragmatic emphasis on architectural clarity and security with a hands-on background in Scala, Kafka, Spark, Kubernetes and cloud-native ML, and is also preparing Kubernetes certification and learning CUDA.
12 years of coding experience
13 years of employment as a software developer
Coursera
MS Computer Sciences Critical Software, MS Computer Sciences Critical Software at Université Paris Cité
English, French