Khalil Mejri is an AI Platform Engineer with eight years of software experience and over five years focused on MLOps, data engineering and cloud-native infrastructure across AWS and GCP. He builds and operates resilient, cost‑efficient Kubernetes-based AI platforms and production ML stacks, driving reliability and traceability for R&D and BioAI industrialization. His background spans freelance product development to enterprise roles at InstaDeep and Sanofi, giving him a pragmatic, client-focused approach to system design and delivery. Equally comfortable with Terraform, CI/CD pipelines and distributed data systems, he favors open-source collaboration and reproducible workflows. Based in Barcelona, he combines research-oriented R&D experience with hands-on operational discipline, having migrated models and data pipelines from on-prem to multi-cloud environments.
8 years of coding experience
7 years of employment as a software developer
Engineer's degree Computer Science, Engineer's degree Computer Science at INSAT - Institut National des Sciences Appliquées et de Technologie
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