CV PACHECO: Difference between revisions

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[https://nextcloud.infocepo.com/index.php/s/Y4nDaRGzN95GMAn Download & Contact] (Code:oPRgHPoDoH)
[https://nextcloud.infocepo.com/index.php/s/Y4nDaRGzN95GMAn Download & Contact] (Code:oPRgHPoDoH)<br>
<br>
[https://nextcloud.infocepo.com/index.php/call/b8574xjo VISIO]  (Ask me an Access Control Code)<br>
<br>


== '''Infrastructure Integrator (including AI, Cloud, CI/CD)''' ==
[https://nextcloud.infocepo.com/index.php/call/b8574xjo VISIO] (Ask me an Access Control Code)
- Audit


- Design
= Sovereign AI Platform Lead =
''National-Scale LLM Infrastructure • Secure AI Platforms • GPU Strategy • Open-Source Sovereignty''


- Implement
== Executive Profile ==
Sovereign AI Platform Lead specializing in the design and management of secure national generative AI platforms.


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


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


- Monitor
== Strategic Scope ==


- Document
=== 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)


- Comply
=== 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)


- Migrate
=== 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


== '''Ingénieur IA au Ministère de l'intérieur''' ==
== Experience ==
* Implémentations du premier ChatBot (LLM), ayant relevé le potentiel de l'Open Source dans ce domaine également.
* Implémentations des premiers RAG, pour matérialiser de nouvelles opportunités pour les projets en cours.
* Création d'une infrastructure pour de l'IA générative et ML [https://github.com/ynotopec/gpu-cluster (github.com/ynotopec/gpu-cluster)].
* Automatisation du déploiement d'une API compatible OPENAI [https://github.com/ynotopec/llm-k8s (github.com/ynotopec/llm-k8s)].
* Étude des projets en cours pour apporter de la plus-value.
* Déploiement de nouveaux LLM, outils de ML, DB vecteurs, texte vers image.
* Développement d'une application pour faire des résumés en français [https://github.com/ynotopec/summarize (github.com/ynotopec/summarize)].
* Test de divers Embeddings et taille de Chunks pour du RAG.
* Développement d'une application pour la gestion des LLMs.
* Mise en place d'un WIKI privé [https://infocepo.com/wiki/index.php/K8s-training (infocepo.com/wiki/index.php/K8s-training)].
* Documentation.
* Élaboration et test de la sauvegarde et restauration du WIKI.
* Tests de LLM pour différents cas d'usage (RAG, assistant + multimodal).
* Création de tests de vitesse pour les LLM.


Liste des outils clés testés [https://infocepo.com/wiki/index.php/Main_Page#AI_Tools (infocepo.com/wiki/index.php/Main_Page#AI_Tools)] :
=== Ministry of the Interior ===
* ChatGPT4 (+ PLUGINS et GPTs).
''AI Infrastructure & Generative AI Lead''
* LANGCHAIN.
* EMBEDDINGS (VICUNA, MISTRAL et voyage-01).
* COGVLM.
* LLM VICUNA-33B pour un assistant privé pour les organisations.
* LLM VICUNA-7B-16k pour les résumés et du RAG.
* LLM fastchat-3b-4bit pour un assistant léger et privé pour une execution locale.
* ChromaDB.


Surveillance des offres GPU.
Led the initial LLM implementations.


Partage des connaissances et de code.
==== 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


Veille technologique.
==== Impact ====
* Accelerated AI experimentation
* Structured a reusable technical foundation
* Reduced dependence on proprietary solutions
* Established a sovereign AI platform


== '''LINUX/CLOUD Architect/Engineer''' ==
=== ADLERE ===
''Linux / Cloud Architect''


=== Skills ===
* High-availability Linux & Cloud infrastructure architecture
* '''Systems:''' LINUX
* Deployment of secure Kubernetes clusters
* '''Security:''' AC, FBE, FDE, JTR, LDAP, LUKS, IPTABLES, PROXY, SSH, TLS, VPN
* Integration of AI solutions & distributed storage
* '''Programming:''' C, PYTHON, REGULAR EXPRESSION, SHELL script
* Automation & migration of critical systems
* '''Data:''' BTRFS, CEPH, S3, SQL
* Network and sensitive data security
* '''Tools:''' ANSIBLE, K8S
* '''Networks:''' BGP, DHCP, GeoDNS, IP ROUTING, LACP, LB, NAT, OSPF, PXE, QoS, VLANs
* '''Languages:''' English, Spanish, French
* Driving licence


=== Professional experiences ===
== Core Capabilities ==
; Since 03-2022 : '''LINUX/CLOUD Architect/Engineer''' at '''ADLERE''', Paris area.
 
:* Collaborate with IT teams, uphold technical architecture, align solutions with company objectives.
=== AI Platform Leadership ===
:* Define/Implement various technical solutions including AI+CLOUD+CLUSTER+HA+LINUX+STORAGE, security, monitoring, and backup solutions.
* LLMOps / GPUOps
:* Automate, ensure sustainability, maintain technology watch, migrate infrastructures, and more.
* Multi-model architecture
:* '''Environment:''' Various technologies including AI (CHATGPT, ML, OPENCV), automation (ANSIBLE, PYTHON), containers (K8S), networks (DHCP, DNS), security tools, and more.
* 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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