Open to opportunities

Enrique Lluesma

@enriquelluesma

Message

I build cloud-native AI infrastructure for 6G, LLM orchestration, and production MLOps platforms.

Spain

Message

What I'm looking for

I'm looking to build production-ready AI infrastructure, LLM orchestration, RAG pipelines, and MLOps platforms for scalable cloud-native and distributed edge environments.

I'm building cloud-native AI services for 6G edge automation at Capgemini Engineering, including AI orchestration components, telecom API integrations, distributed edge architectures, and Kubernetes-based deployments. My work on 6G-XR connects edge orchestration with CAMARA APIs and 5G Core NEF capabilities.

Previously at Atos R&D, I designed and evolved an enterprise-grade MLOps platform, automating ML lifecycles and deployment pipelines with Kubernetes, MLflow, Kubeflow, MinIO, and Seldon Core. I contributed to Hexa-X, AI@EDGE, and Hexa-X II projects focused on AI/ML orchestration, drift monitoring, MEC placement, and sustainable decentralized MLOps for 6G networks.

I bring a Telecommunications Engineering background and a Master's in Big Data Analytics to production-oriented AI infrastructure, with a focus on LLM orchestration, RAG pipelines, microservices, and scalable distributed systems.

Experience

Work history, roles, and key accomplishments

Current

Senior AI Infrastructure Engineer

Current

Capgemini Engineering

Jan 2025 - Present (1 year 7 months)

Designs cloud-native AI services for 6G edge infrastructures, develops AI orchestration components, and integrates AI services with telecom network APIs. Contributes to the 6G-XR project, focusing on edge resource consumption forecasting and CAMARA API integration.