Vladimir Pasquier is a Data MLOps Engineering Lead with 15+ years of software engineering and architecture experience, currently building a multi-tenant SaMD data platform in New York. He combines hands-on backend and cloud expertise—Java, Python, Kubernetes, AWS/GCP—with ML-centric tooling like Metaflow, Sagemaker/Vertex AI, DBT and streaming stacks (Kafka/Flink) to operationalize models and pipelines. As an early hire and current lead of a five-engineer team, he architects scalable data lakes, CI/CD and infra-as-code (CDK/Terraform) while delivering production-grade active learning and RAG systems. His background includes long-term contributions to the open-source Nuxeo platform (backend features and download action tests) and patents on intuitive and gamified ML development from his Hyland/Nuxeo work. He’s comfortable bridging data science and engineering, shipping from prototypes to regulated healthcare deployments, and often surfaces practical infrastructure patterns that teams overlook.
14 years of coding experience
15 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Université Paris Cité
Content management platform to build modern business applications
Role in this project:
Back-end Developer
Contributions:1387 commits, 29 PRs, 220 pushes in 8 years 4 months
Contributions summary:Vladimir's commits focus on enhancing the functionality of an existing content management platform by improving how actions are displayed. They modified Java files within the nuxeo-platform-forms-layout-core and nuxeo-platform-actions-core directories, indicating work on back-end modules. They also added functionality and a test for the download action, which suggests they are involved in building or maintaining features for content management and delivery.
Contributions:67 commits, 5 pushes, 10 branches in 3 months
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