CV PACHECO: Difference between revisions

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{| style="border-spacing:0;"
[https://nextcloud.infocepo.com/index.php/s/Y4nDaRGzN95GMAn Download & Contact] (Code:oPRgHPoDoH)
| colspan="2"  style="border:none;padding:0.0382in;"| <center>'''PACHECO Antonio'''</center>


<center>91 170 Viry-Châtillon</center>
[https://nextcloud.infocepo.com/index.php/call/b8574xjo VISIO] (Ask me an Access Control Code)
| colspan="4"  style="border:none;padding:0.0382in;"| <center>''Mobile : ''+33 6 45 68 55 15 [mailto:tonycepo@gmail.com tonycepo@gmail.com]</center>
| style="border:none;padding:0.0382in;"|


|-
= Sovereign AI Platform Lead =
| colspan="7"  style="border:none;padding:0.0382in;"| <center>'''Administrateur Systèmes et Réseaux'''</center>
''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 ==
| colspan="7"  style="color:#FFFFFF; background-color:#800000;border:none;padding:0.0382in;"| <center>COMPETENCES</center>


|-
=== National AI Infrastructure Architecture ===
| colspan="4"  style="border:none;padding:0.0382in;"|
* Design of secure internal LLM platforms
* ''Systèmes : ''LINUX, UNIX, WINDOWS.
* Multi-node Kubernetes architecture with dedicated GPUs
* ''Réseaux :'' BGP, OSPF, SSH, SSL/TLS.
* Deployment of OpenAI-compatible LLM APIs (interface standardization)
* ''Bases de données :'' ACCESS, MYSQL.
* 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)


| colspan="3"  style="border:none;padding:0.0382in;"|
=== Industrialization & Governance ===
* ''Programmation : ''C, SHELL, VB.
* Standardization of AI deployments
* ''Langues : ''Anglais, espagnol, portugais.
* Full automation (AI infrastructure CI/CD)
* Permis voiture et moto.
* 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.
| colspan="7"  style="border:none;padding:0.0382in;"|


|-
==== Key Achievements ====
| colspan="7"  style="color:#FFFFFF; background-color:#800000;border:none;padding:0.0382in;"| <center>EXPERIENCES PROFESSIONNELLES</center>
* 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 ====
| style="border:none;padding:0.0382in;"| '''2010 - 2011'''
* Accelerated AI experimentation
| colspan="6"  style="border:none;padding:0.0382in;"| '''Administrateur systèmes et réseaux''' | '''FAYAT Multiphone''', 6 mois, 92 Montrouge.
* Structured a reusable technical foundation
* Reduced dependence on proprietary solutions
* Established a sovereign AI platform


Configuration de serveurs applicatifs. Analyse d'exploitation et '''automatisation'''. Analyse, installation, configuration de réseaux locaux voix et données.
=== ADLERE ===
''Linux / Cloud Architect''


''Environnement : ''Audit, DB (ACCESS, MYSQL), DHCP, DNS, FIREWALL, FOIP, FTP, HTTP, IMAP, LDAP, LINUX, NTP, POP3, ROUTER, SHELL, SMTP, SNMP, SSH, SWITCH, TOIP, VB, VISIO, VLAN, VMWARE, VOIP, VPN, WLAN, XDSL.
* 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 ==
| style="border:none;padding:0.0382in;"| '''2009 - 2010'''
| colspan="6"  style="border:none;padding:0.0382in;"| '''Technicien d'exploitationBNP PARIBAS''', 1 an, 93 Montreuil.


''Environnement : ''Anglais, '''automatisation''', LINUX, ordonnanceur, SSH, TCP/IP, UNIX, VB, XML.
=== AI Platform Leadership ===
* LLMOps / GPUOps
* Multi-model architecture
* Advanced RAG
* API design & standardization
* Performance engineering


|-
=== Infrastructure ===
| style="border:none;padding:0.0382in;"| '''2008'''
* Production Kubernetes
| colspan="6"  style="border:none;padding:0.0382in;"| Diverses missions, 13 mois, dép. 91 et '''Irlande''' (9 mois).
* NVIDIA GPU orchestration
* Ceph / S3 / distributed storage
* Observability & monitoring


|-
=== Security & Sovereignty ===
| style="border:none;padding:0.0382in;"| '''2006 - 2007'''
* AI workload isolation
| colspan="6"  style="border:none;padding:0.0382in;"| Technicien d'exploitation'''Bouygues Telecom''', 16 mois, 78 Vélizy.
* Encryption & access control
* Compartmentalized environments
* Zero-trust approach
* Architecture without critical external dependencies


+ Programmation d'une application WEB pour NEXT SOLUTIONS.
== Positioning ==


''Environnement : ''GSM, HTML, HTTP, MYSQL, PHP, SSH, TCP/IP, UNIX.
Profile suited for:
 
* Sovereign AI Platform Director
|-
* National AI Infrastructure Manager
| style="border:none;padding:0.0382in;"| '''2005'''
* Lead AI Systems Architect (strategic public sector)
| colspan="6"  style="border:none;padding:0.0382in;"| Technicien informatiqueINFOCEPO, 5 mois, 95130 Franconville.
* Head of AI Platform Engineering
 
Conseil, configuration, sécurisation, optimisation de PC de particuliers.
 
|-
| style="border:none;padding:0.0382in;"| '''2003 - 2004'''
| colspan="6"  style="border:none;padding:0.0382in;"| '''Technicien test logicielSagem''', 17 mois, 95 Cergy.
 
Élaboration, rédaction en anglais, '''automatisation''', application et suivi de tests logiciels.
 
''Environnement : ''Analyseur réseau, GSM, JAVA.
 
|-
| style="border:none;padding:0.0382in;"| '''2002'''
| colspan="6"  style="border:none;padding:0.0382in;"| Technicien électronicienICEP & SFR & SYCOMORE, 8 mois, dép. 95 & 94.
 
|-
| style="border:none;padding:0.0382in;"| '''2000 - 2001'''
| colspan="6"  style="border:none;padding:0.0382in;"| '''Technicien d'exploitation réseauxEADS Multicoms''', 2 ans, Vélizy.
 
''Environnement : '''''Automatisation''', HPOV, OSPF, satellite, SDH, SS7, WAN.
 
|-
| style="border:none;padding:0.0382in;"| '''1998 - 1999'''
| colspan="6"  style="border:none;padding:0.0382in;"| Technicien réseauxBouygues Telecom, 16 mois, Vélizy.
 
Définition des conduits normaux et protégés des transmissions. Création des plans de routage et de câblage. Organisation des raccordements. Création, modification des plans de répartiteurs.
 
+ Pilotage d'une équipe pour des liaisons problématiques.
 
+ Planification, chiffrage, organisation, tests de liens de transmission.
 
|-
| colspan="7"  style="border:none;padding:0.0382in;"|
 
|-
| colspan="7"  style="color:#FFFFFF; background-color:#800000;border:none;padding:0.0382in;"| <center>FORMATION</center>
 
|-
| style="border:none;padding:0.0382in;"| '''2002'''
| colspan="2"  style="border:none;padding:0.0382in;"| Systèmes informatiques au CNAM.
| colspan="2"  style="border:none;padding:0.0382in;"| '''1999'''
| colspan="2"  style="border:none;padding:0.0382in;"| BTS électronique.
 
|-
| style="border:none;padding:0.0382in;"| '''2001'''
| colspan="2"  style="border:none;padding:0.0382in;"| Traitement du signal au CNAM (BAC+3).
| colspan="2"  style="border:none;padding:0.0382in;"|
| colspan="2"  style="border:none;padding:0.0382in;"|
 
|}

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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