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PACHECO Antonio
[https://nextcloud.infocepo.com/index.php/s/Y4nDaRGzN95GMAn Download & Contact] (Code:oPRgHPoDoH)
91 170 Viry-Châtillon
Mobile : +33 6 45 68 55 15 tonycepo@gmail.com


[https://nextcloud.infocepo.com/index.php/call/b8574xjo VISIO] (Ask me an Access Control Code)


TECHNICIEN SYSTÈMES ET RÉSEAUX
= Sovereign AI Platform Lead =
''National-Scale LLM Infrastructure • Secure AI Platforms • GPU Strategy • Open-Source Sovereignty''


COMPETENCES :
== Executive Profile ==
Langues : Anglaise, espagnole, portugaise.
Sovereign AI Platform Lead specializing in the design and management of secure national generative AI platforms.
Applications : DIA, EXCEL.
Permis voiture et moto.
Systèmes : Embarqués, LINUX, WINDOWS.
Programmation : ASM, JAVA, SQL, VB.
Protocoles : HTTP, SSH, TCP/IP, TLS.


EXPERIENCES PROFESSIONNELLES :
Expert in open-source LLM architecture, sovereign GPU deployment, OpenAI-compatible APIs, industrialized RAG pipelines, and technical governance in sensitive environments.
2009 à 2010
Technicien d'exploitation pour BNP Paribas UK > PROFINDER, 1 an, 93 Montreuil.
Supervision et résolution des incidents serveurs. Support technique aux utilisateurs internationaux. Suivi et résolution des traitements problématiques. Automatisations des taches répétitives.
Mots-clés : Anglais, CFT, EXCEL, finance, formateur, FTP, LINUX, LOTUS NOTES, ordonnanceur, rédacteur technique, RDP, REGEX, SAN, SH scripts, SSH, SQL, TCP/IP, TNG, TSM, UNIX, WINDOWS, VB.
2008
Diverses missions, 13 mois, dép. 91 et Irlande (9 mois).
Mots-clés : Chef d'équipe, EXCEL, VB.
2006 à 2007
Technicien d'exploitation pour Bouygues Telecom > NEXT SOLUTIONS, 16 mois, 78 Vélizy.
Supervision et résolution des incidents serveurs.
Création d'une application WEB pour NEXT SOLUTIONS.
Mots-clés : APACHE, EXCEL, GSM, HTML, MYSQL, PATROL, PHP, TCP/IP, UNIX.
2005
Support technique aux particuliers > INFOCEPO, 5 mois, 95130 Franconville.
Support technique informatique et réseau. Mise en place des procédures et des outils de diagnostique, de sauvegarde et de maintenance.
Mots-clés : EXCEL, formateur, FTP, IMAP, LINUX, POP3, rédacteur technique, SMTP, SSH, TCP/IP.
2003 à 2004
Testeur de systèmes embarqués Sagem, 17 mois, 95 Cergy.
Élaboration, rédaction, automatisation, application et suivi de tests logiciels et matériel. Traduction en anglais et externalisation des tests.
Mots-clés : Analyseur réseau, AT protocole, EMS, HTTP, JAVA, rédacteur technique, R&D, RS232, XML, VB.
2002
Diverses missions en électronique > ICEP & SFR & SYCOMORE, 8 mois, dép. 95 & 94.
Mise en place d'une cellule expertise SAV.
Validateur de prototypes électroniques.
Mots-clés : CAD, loupe binoculaire, multimètre, oscilloscope, programmateur, VISIO.
2000 à 2001
Technicien d'exploitation réseaux internationaux > EADS Multicoms, 2 ans, Vélizy.
Supervision et résolution des incidents réseaux. Support technique aux utilisateurs internationaux. Automatisations des taches répétitives. Formation de nouveaux collaborateurs.
Élaboration d'une application WEB accessible aux clients pour le suivi et la résolution des problèmes de qualité de service.
Mots-clés : Anglais, formateur, FR. RELAY, HPOV, MODEM, MRTG, organisateur, OSPF, PABX, satellite, SDH, SNMP, SS7, TCP/IP, VB, VOIP.
1998 à 1999
Planificateur et testeur réseau GSM > Bouygues Telecom, 16 mois, Vélizy.
Création de plans de routage et de câblage. Organisation des raccordements. Création, modification des plans de répartiteurs. Pilotage d'une équipe pour des liaisons problématiques.
Planification de tests d'interconnexion avec France Telecom. Rédaction de procédures et chiffrage de tests.
Mots-clés : BSC, formateur, MIC, organisateur, SDH, VB.


FORMATION :
Capable of transforming AI experiments into robust, secure, scalable platforms strategically aligned with the challenges of technological sovereignty.
2002
 
Systèmes informatiques au CNAM.
== Strategic Scope ==
1999
 
BTS électronique.
=== National AI Infrastructure Architecture ===
2001
* Design of secure internal LLM platforms
Traitement du signal au CNAM (BAC+3).
* 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

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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