Freelancer profile translated to English.

Description

Do you want to integrate AI into your organization, but don't know where to start? Tools are changing fast, promises are numerous, teams lack direction, and it's difficult to distinguish a truly profitable use case from a mere trend.

I first intervene in audit and scoping to clarify your priorities: which use cases to launch, which to avoid, what architecture to aim for, what risks to anticipate, what data to use, and how to move from an AI idea to a truly usable solution.

I help SMEs, mid-sized companies, and large organizations transition from a business or technical need to a usable AI solution: AI agents, orchestration, RAG, AWS Bedrock, OCR/NLP, dashboards, process automation, LLMOps, and integration into existing IT systems.

I have worked in critical environments in banking, insurance, industry, and large corporations: BNP Paribas CIB, Crédit Agricole, Amundi, Euler Hermes, Eiffage. My domain: contexts where reliability, security, scalability, governance, and production readiness are non-negotiable.

I intervene on 4 levels:

AI Audit & Scoping:Need clarification, ROI prioritization, risk assessment, target architecture, roadmap.
Agentic AI Architecture:Agents, multi-agents, orchestration, tool calling, MCP, RAG, AWS Bedrock.
Industrialization & Integration:LLMOps, CI/CD, automation, observability, security, IT system integration.
Training & Acculturation:Generative AI workshops, AI agents, RAG, LLMOps best practices, team adoption.

What sets me apart:I don't just provide an AI demo. I audit, challenge business value, define needs, design architecture, secure industrialization, train teams, and support until actual usage.

If you're looking for someone who can transform a vague need into a robust, measurable, secure, and team-adopted AI system, let's talk.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent
Arabic
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

Odyss.ai
AI/Cloud Architect - AI Platform for AWS DevOps
SOFTWARE PUBLISHING
October 2022 - Today (3 years and 8 months)
Paris, France
I am designing a B2B platform that transforms DevOps management and AWS Cloud architecture into natural language conversation using generative AI.

The goal:to enable technical teams to manage, audit, and understand their cloud infrastructure faster, without compromising control, security, or reliability.

What I designed:
An AI platform focused on DevOps & Cloud Architecture
Coverage of over 56 AWS tools and services: EC2, S3, RDS, Lambda, CloudWatch, IAM, VPC, ECS
A 100% cloud-native architecture
A multi-tenant model with isolation via IAM AssumeRole
Real-time streaming with generative AI
Use cases around costs, logs, security, deployments, and cloud diagnostics

What this experience demonstrates:

Ability to transform complex Cloud/DevOps expertise into a usable product
Product vision + technical architecture + field execution
Mastery of scalability, security, industrialization, and user adoption challenges
Ability to move from a business or technical need to a usable AI platform

I also build concrete AI/Cloud systems designed for production use by technical teams.
AWS Bedrock DevOps artificial intelligence AI Architecture Agentic AI
Indépendante - Odyss.ai & missions grands comptes
AI & AWS Cloud Architect – AI Agents, RAG, DevOps, Production Deployment
CONSULTING AND AUDITS
February 2018 - Today (8 years and 4 months)
Paris, France
I assist CTOs, CIOs, and business leaders in the design, industrialization, and production deployment of AI, Cloud, and automation solutions with high operational impact.

I work as an independent consultant in critical environments, particularly in banking, insurance, industry, and large corporations: Crédit Agricole, Eiffage, BNP Paribas CIB, Amundi, Euler Hermes.

My interventions:

AI Architecture: AI agents, RAG, LLMs, MCP, orchestration, OCR/NLP
Cloud & DevOps: AWS, Terraform, Cloud, DevOps/DevSecOps, automation, AI, agents, LLMs, MCP, OCR, Kubernetes, CI/CD.
Industrialization: Moving from POC to production, security, scalability, observability
Automation: Build, test, deployment, business process and internal platform workflows
Support: Scoping, roadmap, technical arbitration, team acculturation

Results and proof:

Over 1,000 architectures and automations deployed in production
Design of B2B AI platforms with 100% cloud architecture
Over 56 cloud tools and services covered on Odyss.ai
Finance case study: -70% processing time, -90% involuntary renewals, ROI within 3 months

What sets me apart:I don't just produce AI demonstrations. I design robust, secure, and usable systems capable of integrating into constrained organizations, with real production, governance, and adoption challenges.
AI Architecture AWS artificial intelligence DevOps RAG
EIFFAGE
Cloud & AWS Automation Tech Lead – AI, CI/CD, DevOps/DevSecOps
CIVIL ENGINEERING
October 2022 - July 2024 (1 year and 9 months)
Paris, France
Working as an independent Tech Lead on Cloud architecture, automation, CI/CD industrialization, and DevOps/DevSecOps subjects in a large enterprise environment.

Mission objective:to make delivery practices reliable, industrialized, and automated to secure the transition to production, reduce operational complexity, and strengthen team autonomy.

My interventions:

Cloud architecture and structuring of technical environments
Automation of build, test, deployment, and operations processes
Implementation and improvement of CI/CD pipelines
DevOps / DevSecOps industrialization: quality, security, standardization
Supporting teams on automation and production deployment best practices
Contribution to AI and automation topics applied to technical processes

What this mission demonstrates:

Ability to operate in a complex and constrained organization
Mastery of production, reliability, security, and scalability challenges
Ability to bridge the gap between architecture, delivery, automation, and team adoption
Field experience in environments where execution quality is critical

This mission reinforces my positioning as an AI/Cloud architect capable of moving from a technical or organizational need to a robust, industrialized, and production-ready solution.
AI Architecture Cloud Architecture DevSecOps Automation DevOps