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Sovereign AI Platform Lead

National-Scale LLM Infrastructure • Secure AI Platforms • GPU Strategy • Open-Source Sovereignty

Executive Profile

Sovereign AI Platform Lead specializing in the design and management of secure national generative AI platforms.

Expert in open-source LLM architecture, sovereign GPU deployment, OpenAI-compatible APIs, industrialized RAG pipelines, and technical governance in sensitive environments.

Capable of transforming AI experiments into robust, secure, scalable platforms strategically aligned with the challenges of technological sovereignty.

Strategic Scope

National AI Infrastructure Architecture

• Design of secure internal LLM platforms
• Multi-node Kubernetes architecture with dedicated GPUs
• Deployment of OpenAI-compatible LLM APIs (interface standardization)
• Integration of vector databases and RAG pipelines
• Latency/cost/performance optimization
• Multi-model orchestration (open-weight & hybrid)

Sovereign Open-Source Strategy

• Evaluation of open-weight vs. proprietary models
• LLM selection based on security, cost, and technological independence
• Edge vs. datacenter strategy
• Strategic monitoring of GPU & AI ecosystem
• Analysis of critical dependencies (hardware/software)

Industrialization & Governance

• Standardization of AI deployments
• Full automation (AI infrastructure CI/CD)
• Isolation and compartmentalization of sensitive workloads
• Backup, restoration, and business continuity
• Structured documentation and dissemination of best practices

Experience

Ministry of the Interior

AI Infrastructure & Generative AI Lead

Led the initial LLM implementations.

Key Achievements

• Deployment of the first sovereign LLM ChatBots
• Design and industrialization of RAG pipelines
• Creation of a dedicated AI GPU cluster
• Automation of an OpenAI-compatible LLM API
• Performance & latency benchmarking of multiple models
• Embedding tests and chunking optimization
• Multimodal deployment (text, image)
• Implementation of a secure Technical Wiki
• Development of backup & restoration strategy
• Strategic monitoring of open-source models and GPU market

Impact

• Accelerated AI experimentation
• Structured a reusable technical foundation
• Reduced dependence on proprietary solutions
• Established a sovereign AI platform

ADLERE

Linux / Cloud Architect

• High-availability Linux & Cloud infrastructure architecture
• Deployment of secure Kubernetes clusters
• Integration of AI solutions & distributed storage
• Automation & migration of critical systems
• Network and sensitive data security

Core Capabilities

AI Platform Leadership

• LLMOps / GPUOps
• Multi-model architecture
• Advanced RAG
• API design & standardization
• Performance engineering

Infrastructure

• Production Kubernetes
• NVIDIA GPU orchestration
• Ceph / S3 / distributed storage
• Observability & monitoring

Security & Sovereignty

• AI workload isolation
• Encryption & access control
• Compartmentalized environments
• Zero-trust approach
• Architecture without critical external dependencies

Positioning

Profile suited for:

• Sovereign AI Platform Director
• National AI Infrastructure Manager
• Lead AI Systems Architect (strategic public sector)
• Head of AI Platform Engineering