After 22 years of adventure in the IT world, having explored various positions and environments in SMEs, startups and major accounts, I would describe myself as a Tech Architect, dedicated to designing intelligent solutions that perfectly fit your challenges.

For the past 2 years, I have been exploring the world of Generative AI, from LLM and Speech-to-Text to Robotics. I design and build AI-as-a-Service infrastructures, from model benchmarking to production deployment, with scalable and observable architectures.

My mission?

To transform your AI ambitions into production-ready solutions, bridging the gap between cutting-edge models and enterprise-grade reliability.

My Homelab

I run my own Homelab where I experiment with the latest technologies: Kubernetes clusters, GPU inference, GitOps pipelines, and more. This playground allows me to test, break, and master tools before deploying them in production environments.

Skills

AI Engineer

Technical Architect

DevSecOps

CTO Support

Experience

BNP Paribas

AI Tech Lead - LLM as a Service

Within the AI Platform team, I lead the design and development of the "LLM as a Service" component to expose generative AI capabilities to all business units across the group.

Speech-to-Text Benchmark: Designed a benchmarking solution for STT models based on CTranslate2, evaluating performance (latency, WER, throughput)
LLM Benchmark Platform: Developed an internal comparative evaluation platform for LLM models, integrating quality, cost and performance metrics
GPU Mapper: Designed a unified aggregation and monitoring system using vLLM, GPU Operator and LiteLLM to optimize GPU resource allocation on Kubernetes
LLM Canary Testing: Implemented a canary deployment strategy specific to LLM models with automatic rollback
AI Gateway: Developed a centralized gateway in Go for AI model access, handling authentication, rate limiting, intelligent routing and observability

Go, Kubernetes, vLLM, LiteLLM, GPU Operator, CTranslate2

October 2025 - Present

Clariane

Platform Architect

Leading platform strategy and infrastructure transformation towards a cloud-native model in the context of IS modernization for a major healthcare group.

External DNS Windows: Developed a custom External DNS controller for hybrid Windows AD / Kerberos environment, automatic DNS entry synchronization from Kubernetes to Active Directory
Pulumi IaC Platform: Designed and developed a self-service platform based on Pulumi (TypeScript), standardized and auditable multi-provider cloud resource provisioning
PKI Infisical: Implemented an internal PKI infrastructure with Infisical for centralized secrets and certificates management, integrated with GitOps workflow
Team Coaching: Mentoring developers on DevOps practices, containerization and microservices architecture
Backup Manager: Developed a database backup and restore tool (MySQL/PostgreSQL), configuration management in Azure Blob Storage, data anonymization feature for non-prod environments

Kubernetes, Pulumi, TypeScript, Infisical, GitOps, Active Directory, MySQL, PostgreSQL, Azure

January 2025 - October 2025

(10 months)

Optisantis

API Gateway Consultant

In an HDS (Health Data Hosting) environment, conducting a study for changing the API gateway to expose microservices

Development of Mocks to limit external partner calls for performance testing
Benchmarking of 3 API gateway solutions (Kong / Traefik / APISIX)
Building route profiles (circuit breaker, security, JWT management, rate limiting)
Implementation of autoscaling with Karpenter and robustness testing

November 2024 - December 2024

(2 month)

EDF Renewables

Solution Architect

Within an EDF subsidiary, redesign of an IoT architecture for collecting photovoltaic supervision data. Ingestion of 57M events per month.

Microservices architecture design
Definition of business domains and technical foundations
Development of a technical roadmap
Writing multi-stage architecture diagrams
Writing specifications and ADRs
Setting up AWS infrastructure

May 2024 - October 2024

(6 months)

Ask For The Moon

LLMOPS Consultant

Supporting the team on the LLMOPS part on K8s Rancher and Azure

Building on-premises k8S infrastructure with A100 GPUs
Implementing LLM monitoring tools
Creating a roadmap for cloud > on-premise migration
Guiding the team in GenAI technology choices
Setting up experimentation pipelines with Mlflow

July 2024 - Décembre 2024

(4 months)

Kazaplan - Adeo Service CCDP

Cross-functional technical architect / Infrastructure lead

At Kazaplan, I was in charge of cross-functional architecture for the entire project as the Infrastructure Engineering Manager.

Team building (recruitment, planning, roadmap)
Technical solution arbitration
Scrummaster / agile rituals
Creating a shared roadmap and engaging key players
Setting objectives

Notable technical achievements:

Rendering with Blender on GPU with autoscale
Implementation of testing tools on kubernetes
Deployment of AI Engineer architecture

March 2023 - November 2023

(9 months)

Wanadev

Technical Architect

Technical side:

Microservice design
Monitoring
Security
Performance
Technical concept injection (sse, sso, lambda, cloud, kubernetes)
Data model redesign

Operational side:

Lead coach (posture, role, responsibility)
Cross-functional workshops (feature flipping, migration)
Development guidelines
Tool training (sonarqube / datadog)
Improvement management (kpi / board / measurement)
Agile transformation support (scrum / accelerate)

A few example projects:

Workshop on lead dev posture
Micro-service design (Anti Corruption Layer pattern)
Development stack redesign
Technical roadmap construction
Data model redesign
Training teams in technical documentation (code / architecture)

September 2022 - August 2023

(8 months)

SNCF

Coach K8S / Cloud Azure

February 2022 - December 2022

(11 months)

360 medics

Kubernetes / Cloud GCP Expert

Kubernetes architecture training for the tech team
Schedule and roadmap set up
Data audit to validate the project's suitability for requirements
Workshops for developers on microservice architecture
Coach the Ops staff on Kubernetes implementation best practices and security.

January 2022 - June 2022

(6 months)

Waays

Kubernetes / GCP Expert

Coaching the team on Kubernetes implementation architecture in GCP in a global CDN context
CD implementation with argo CD
Full google platform infrastructure (gke / cdn / ingress / etc)

July 2021 - December 2021

(6 months)

SNCF

Fullstack Developer

Played a part in the migration of an IAM platform based on a forgerock solution.

1. Building a new platform

- Construction of project technical roadmap to set deadlines

- Refactoring of helm charts (statefulset, cronjob, etc...)

- Search for cloud backup and secret management solution

- Provide secure docker images alpine base (stack httpd - java - tomcat - nginx)

- Performance benchmark with jmeter scenario (SAML / OIDC)

- Installation and configuration of datadog (log / metric /APM)

- Proposal for kubernetes architecture on AWS (EKS, S3, secret manager.... )

- Security audit management (pentest blackbox / whitebox)

2. Development

- Backoffice development with python Flask / VueJS to administor the new platform's OIDC SAML client configurations.

- 30% MCO saved

- Deployment configuration in 5 minutes rather than 5 days (automating IS connections)

- Configuration deployment on LDAP directories, identity federation and web services

- Interface with forgerock and SNCF APIs

- UX / UI design, data modeling, secure routes etc...

August 2021 - March 2022

(8 months)

SNCF

Kubernetes Lead / AWS Cloud Architect

January 2020 - September 2020

(9 months)

SNCF

Kubernetes Lead / AWS Cloud Architect

September 2019 - December 2020

(15 months)

M6 web

DataOps / DevOps

Working on M6 Web data lake with CDH 5.11 Hadoop cluster to run A/B tests.

Projetcs :

Data-lake migration (Hive table, HDFS data) with quality data verification
Setup and installation of continuous integration with Jenkins, Sonarqube, Artifactory and Docker
Centralisation of all projects configurations into json file (backup, quota, retention, access right, ....)

Other tasks

Deployment automation in clusters with Ansible (add new users / projects / quota)
Development, orchestration and scheduling of jobs using Python & Airflow ( coding specials plugins)
Setup Data-lake cleanup with Java code (delete HDFS data, clean hive partition)
Build Docker containers for developper
Setup backup data in S3
Setup EC2 machine with VPC on AWS
Tuning Hadoop Cluster to improve performance
POC with Apache Presto to get fast database over hive tables.
Data Science tool configuration (Hue / Jupyter / SuperSet)
Python script developement to help collegues in various use cases.
Analysis and resolution of incidents
Support to developers, data analysts and data engineers
Migration code from Spark 1.6 to Spark 2 to enhance performance

June 2018 - June 2019

(12 months)

Would you like to learn more about my experience?

Visit my Linkedin

What missions can I carry out

Catégorie	Description
Sécurité	Implement Zero Trust architectures with network micro-segmentation and continuous authentication of users and devices.
Sécurité	Conduct GDPR, HDS and sectoral compliance audits with detailed reports and remediation plans.
Sécurité	Deploy cloud-native SIEM/SOAR solutions for automated detection and orchestrated response to security incidents.
Architecture	Facilitate architecture workshops to define technical needs and solutions.
Architecture	Define cloud and on prem architectures and implement them.
Architecture	Build multi-cluster ingress solutions for global performance needs.
Formation	Train developer teams to set up their dev guidelines.
Formation	Facilitate communities of practice to share best practices and feedback.
Formation	Train teams in Agile and Scrum methodologies
DevOps	Define and implement CI/CD pipelines to automate deployments.
Infrastructure	Set up test tools to benchmark performance.
Architecture	Support the migration of monolithic applications to microservice architectures.
Sécurité	Coaching devops teams on scalability and security practices.
Sécurité	Set up redundant, encrypted and anonymized backup systems for business continuity plans.
Sécurité	Design and manage security audits (blackbox/whitebox pentests).
AI	Deploy on-premise kubernetes clusters with GPUs for intensive computing needs.
AI	Create FTI architectures to enable data qualification, model training and use case deployment.
AI	Create agents capable of using tools and controllable by LLMs.
AI	Create vector databases for similarity search needs.
AI	Design benchmark platforms to evaluate LLM and Speech-to-Text models (latency, quality, cost, throughput).
AI	Develop AI Gateways to centralize model access with authentication, rate limiting and intelligent routing.
AI	Optimize GPU resource allocation on Kubernetes with vLLM, GPU Operator and LiteLLM.
AI	Implement canary deployment strategies specific to LLM models with automatic rollback.
DevOps	Set up DevSecOps tools (Twistlock, OPA, Falco).
Infrastructure	Design self-service IaC platforms with Pulumi for standardized and auditable multi-cloud provisioning.
Infrastructure	Develop custom Kubernetes controllers for hybrid environments (Windows AD, Kerberos, DNS).
Sécurité	Implement an internal PKI infrastructure with centralized secrets and certificates management integrated with GitOps workflow.
Data	Migration and optimization of Hadoop/Spark clusters for Big Data processing.
Data	Set up tools for data management and refinement.
Infrastructure	Conduct infrastructure audits to identify weaknesses and areas for improvement.
Infrastructure	Work on the network stack of kubernetes clusters to improve security and performance.
Architecture	Set up serverless patterns for event-driven applications.
Infrastructure	Define and implement monitoring and supervision architectures.
Architecture	Set up scalability solutions for distributed applications.

My Toolbox

Name	Category	Level	Description
Airflow	BigData	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Powerful data workflow orchestrator, perfect for automating complex data pipelines and ETL tasks.
Argo CD	DevOps	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Reference GitOps solution for Kubernetes, enabling declarative deployment management and automatic Git synchronization.
Argo Workflows	CI	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Kubernetes-native workflow engine for orchestrating complex tasks and distributed processing.
AWS	Cloud	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Cloud computing leader offering the widest range of services, perfect for businesses seeking a complete cloud solution.
Azure	Cloud	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Microsoft's enterprise cloud solution, excellent for .NET integration and enterprise services. Leader in compliance and security.
Cilium	Network	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Cloud-native networking and security solution based on eBPF, perfect for modern Kubernetes environments.
Crossplane	Cloud	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Innovative Kubernetes extension for multi-cloud management, transforming Kubernetes into a true cloud control plane.
Datadog	Monitoring	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Complete cloud monitoring solution, providing unified visibility into metrics, logs and traces with integrated AI.
Falco	Data Security	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Kubernetes intrusion detection system, crucial for container runtime security.
FastAPI	Dev	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Modern and fast Python web framework, ideal for building high-performance RESTful APIs.
GitHub Actions	CI	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	CI/CD solution integrated with GitHub, ideal for workflow automation with excellent Git integration.
GitLab CI	CI	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Complete CI/CD platform integrated with GitLab, offering automated pipelines, container registries and native security.
Goldilocks	Kubernetes	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Specialized tool for Kubernetes resource optimization, helping to set optimal limits and requests.
Google Cloud Platform	Cloud	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Comprehensive cloud platform with native Google technology integration, particularly powerful for AI/ML and big data.
Gradio	AI/ML	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Python framework for building interactive web interfaces for ML and LLM models.
Grafana	Monitoring	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Leading visualization platform, enabling sophisticated dashboard creation and data exploration from multiple sources.
Hadoop	BigData	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Mature big data framework for distributed processing, perfect for massive data analysis and distributed storage with HDFS.
HashiCorp Vault	Data Security	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Enterprise-grade secret management solution, offering advanced access management and native cloud integration.
Hugging Face	AI/ML	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	ML models and tools platform
JMeter	Bench	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Mature load testing tool, ideal for testing web application and API performance at scale.
Kafka	BigData	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Distributed streaming platform, perfect for event-driven architectures and real-time processing.
Karpenter	DevOps	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Kubernetes autoscaling
KEDA	DevOps	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Advanced autoscaling solution for Kubernetes, enabling scaling based on custom metrics and events.
Kong	DevOps	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	API Gateway and Service Mesh
Kyverno	Data Security	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Modern Kubernetes-native policy engine, perfect for cluster governance and security.
LangChain	AI/ML	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Framework for developing LLM powered applications
Langfuse	AI/ML	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Observability platform for LLMs
Linkerd	Network	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Lightweight and powerful service mesh, excellent for Kubernetes microservices security and observability.
Locust	Bench	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Modern Python load testing framework, enabling complex test scenarios and excellent scalability.
MLflow	Machine Learning	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Complete platform for ML lifecycle, excellent for tracking experiments and deploying models.
Nginx	Network	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	High-performance web server/proxy, essential for load balancing and SSL termination.
NiFi	BigData	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Robust data flow automation system, excellent for ETL and complex data routing.
Ollama	AI/ML	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Tool for running LLMs locally
Promptfoo	AI/ML	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	LLM prompt testing and evaluation tool
Pulumi	IAC	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Modern Infrastructure as Code platform allowing use of real programming languages for cloud management.
Python	Dev	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Versatile language leading in data science and ML, with a rich ecosystem. Ideal for automation, data analysis and web development.
Qdrant	Database	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Vector database for semantic search
RabbitMQ	BigData	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Versatile and mature message broker, excellent for event-driven architectures and distributed systems.
RAGgAS	AI/ML	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Framework for RAG systems evaluation
SageMaker	Machine Learning	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	AWS managed ML service, simplifying ML model development and deployment at scale.
SonarQube	Dev	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Leading static code analysis tool, crucial for maintaining code quality and detecting security vulnerabilities.
Spark	BigData	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	High-performance distributed data processing framework, ideal for big data and real-time analytics.
Superset	BigData	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Modern data visualization platform, providing an intuitive interface for exploring and sharing insights.
Terraform	Cloud	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Infrastructure as Code standard, enabling consistent and reproducible multi-cloud management with a large provider ecosystem.
Traefik Gateway	DevOps	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Kubernetes Gateway API implementation
vCluster	Kubernetes	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Innovative Kubernetes virtualization solution, enabling isolated virtual clusters to run within a physical cluster.
Velero	DevOps	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Robust backup and restore solution for Kubernetes, essential for cloud-native application business continuity.
VictoriaMetrics	Monitoring	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	High-performance alternative to Prometheus, optimized for long-term storage and fast queries on large amounts of metrics.
vLLM	AI/ML	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	High-performance LLM inference engine with PagedAttention, optimized for large-scale model serving.
LiteLLM	AI/ML	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Unified proxy for LLM APIs, enabling a single interface for OpenAI, Anthropic, Cohere and 100+ providers.
OpenShift AI	AI/ML	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Red Hat's MLOps platform for deploying and managing ML models on OpenShift/Kubernetes.
Vue.js	Dev	Rating 0 of 5 Rating 1 of 5 Rating 2 of 5 Rating 3 of 5 Rating 4 of 5 Rating 5 of 5	Progressive JavaScript framework for user interfaces, excellent for modern and reactive web applications.