CV PACHECO: Difference between revisions

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[https://nextcloud.infocepo.com/index.php/s/Y4nDaRGzN95GMAn Download & Contact] (Code:oPRgHPoDoH)
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[https://nextcloud.infocepo.com/index.php/call/b8574xjo VISIO] (Ask me an Access Control Code)
[https://nextcloud.infocepo.com/index.php/call/b8574xjo VISIO] (Ask me an Access Control Code)<br>
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= Sovereign AI Platform Lead =
= Sovereign AI Platform Lead =
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== Executive Profile ==
== Executive Profile ==
Sovereign AI Platform Lead spécialisé dans la conception et le pilotage de plateformes nationales d’IA générative sécurisées.
Sovereign AI Platform Lead specializing in the design and management of secure national generative AI platforms.


Expert en architecture LLM open-source, déploiement GPU souverain, API compatibles OpenAI, pipelines RAG industrialisés et gouvernance technique en environnement sensible.
Expert in open-source LLM architecture, sovereign GPU deployment, OpenAI-compatible APIs, industrialized RAG pipelines, and technical governance in sensitive environments.


Capacité à transformer des expérimentations IA en plateformes robustes, sécurisées, scalables et stratégiquement alignées avec les enjeux de souveraineté technologique.
Capable of transforming AI experiments into robust, secure, scalable platforms strategically aligned with the challenges of technological sovereignty.


== Strategic Scope ==
== Strategic Scope ==


=== National AI Infrastructure Architecture ===
=== National AI Infrastructure Architecture ===
* Conception de plateformes LLM internes sécurisées
* Design of secure internal LLM platforms
* Architecture Kubernetes multi-nœuds avec GPU dédiés
* Multi-node Kubernetes architecture with dedicated GPUs
* Déploiement d’API LLM compatibles OpenAI (standardisation des interfaces)
* Deployment of OpenAI-compatible LLM APIs (interface standardization)
* Intégration de bases vectorielles et pipelines RAG
* Integration of vector databases and RAG pipelines
* Optimisation latence / coût / performance
* Latency/cost/performance optimization
* Orchestration multi-modèles (open-weight & hybrides)
* Multi-model orchestration (open-weight & hybrid)


=== Sovereign Open-Source Strategy ===
=== Sovereign Open-Source Strategy ===
* Évaluation modèles open-weight vs propriétaires
* Evaluation of open-weight vs. proprietary models
* Sélection LLM selon sécurité, coût, indépendance technologique
* LLM selection based on security, cost, and technological independence
* Stratégie edge vs datacenter
* Edge vs. datacenter strategy
* Veille stratégique GPU & écosystème IA
* Strategic monitoring of GPU & AI ecosystem
* Analyse dépendances critiques (hardware / software)
* Analysis of critical dependencies (hardware/software)


=== Industrialization & Governance ===
=== Industrialization & Governance ===
* Standardisation des déploiements IA
* Standardization of AI deployments
* Automatisation complète (CI/CD infrastructure IA)
* Full automation (AI infrastructure CI/CD)
* Isolation et cloisonnement workloads sensibles
* Isolation and compartmentalization of sensitive workloads
* Backup, restauration, continuité d’activité
* Backup, restoration, and business continuity
* Documentation structurée & diffusion des bonnes pratiques
* Structured documentation and dissemination of best practices


== Experience ==
== Experience ==


=== Ministère de l’Intérieur ===
=== Ministry of the Interior ===
''AI Infrastructure & Generative AI Lead''
''AI Infrastructure & Generative AI Lead''


Pilotage technique des premières implémentations LLM internes.
Led the initial LLM implementations.


==== Réalisations clés ====
==== Key Achievements ====
* Déploiement des premiers ChatBots LLM souverains
* Deployment of the first sovereign LLM ChatBots
* Conception et industrialisation de pipelines RAG
* Design and industrialization of RAG pipelines
* Création d’un cluster GPU dédié IA
* Creation of a dedicated AI GPU cluster
* Automatisation d’une API LLM compatible OpenAI
* Automation of an OpenAI-compatible LLM API
* Benchmark performance & latence multi-modèles
* Performance & latency benchmarking of multiple models
* Tests embeddings & optimisation du chunking
* Embedding tests and chunking optimization
* Déploiement multimodal (texte, image)
* Multimodal deployment (text, image)
* Mise en place d’un Wiki technique sécurisé
* Implementation of a secure Technical Wiki
* Élaboration stratégie de sauvegarde & restauration
* Development of backup & restoration strategy
* Veille stratégique modèles open-source et marché GPU
* Strategic monitoring of open-source models and GPU market


==== Impact ====
==== Impact ====
* Accélération des expérimentations IA
* Accelerated AI experimentation
* Structuration d’une base technique réutilisable
* Structured a reusable technical foundation
* Réduction dépendance aux solutions propriétaires
* Reduced dependence on proprietary solutions
* Fondation d’une plateforme IA souveraine
* Established a sovereign AI platform


=== ADLERE ===
=== ADLERE ===
''Linux / Cloud Architect''
''Linux / Cloud Architect''


* Architecture infrastructures Linux & Cloud haute disponibilité
* High-availability Linux & Cloud infrastructure architecture
* Déploiement clusters Kubernetes sécurisés
* Deployment of secure Kubernetes clusters
* Intégration solutions IA & stockage distribué
* Integration of AI solutions & distributed storage
* Automatisation & migration systèmes critiques
* Automation & migration of critical systems
* Sécurisation réseau et données sensibles
* Network and sensitive data security


== Core Capabilities ==
== Core Capabilities ==
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=== AI Platform Leadership ===
=== AI Platform Leadership ===
* LLMOps / GPUOps
* LLMOps / GPUOps
* Architecture multi-modèles
* Multi-model architecture
* RAG avancé
* Advanced RAG
* API design & standardisation
* API design & standardization
* Performance engineering
* Performance engineering


=== Infrastructure ===
=== Infrastructure ===
* Kubernetes production
* Production Kubernetes
* Orchestration GPU NVIDIA
* NVIDIA GPU orchestration
* Ceph / S3 / stockage distribué
* Ceph / S3 / distributed storage
* Observabilité & monitoring
* Observability & monitoring


=== Security & Sovereignty ===
=== Security & Sovereignty ===
* Isolation workloads IA
* AI workload isolation
* Chiffrement & contrôle d’accès
* Encryption & access control
* Environnements cloisonnés
* Compartmentalized environments
* Approche zero-trust
* Zero-trust approach
* Architecture sans dépendance critique externe
* Architecture without critical external dependencies


== Positioning ==
== Positioning ==


Profil adapté à :
Profile suited for:
* Direction Plateforme IA Souveraine
* Sovereign AI Platform Director
* Responsable Infrastructure IA nationale
* National AI Infrastructure Manager
* Lead AI Systems Architect (secteur public stratégique)
* Lead AI Systems Architect (strategic public sector)
* Head of AI Platform Engineering
* Head of AI Platform Engineering

Latest revision as of 16:55, 30 August 2026

Download & Contact (Code:oPRgHPoDoH)

VISIO (Ask me an Access Control Code)

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
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