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Youssef O.YO

Youssef O.

CTO / AI Architect/ AI Forward Deployed Engineer

€1,000/day
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Youssef

Freelance consultant Cloud, Data & AI Architect, CTO, Tech Lead and Tech Advisor. I intervene in the upstream phase to frame the architecture, structure the project, challenge the specifications and secure technological choices, then I support the teams through to build and industrialization.

I support projects from scratch or already in production for startups, SMEs and large groups: agentic platform, iOS/Android mobile applications, marketplaces, e-commerce, SaaS platforms, cloud infrastructure, AI applications and data pipelines.

Available for freelance missions only, not permanent positions.
  • English

    Fluent

  • French

    Native or bilingual

  • Arabic

    Native or bilingual

Can work on-site
Paris (up to 50km), Lyon (up to 50km), Bordeaux (up to 50km), Lille (up to 50km), Annecy (up to 50km)

Experience

  • UtopikAI
    CTO / Data & AI Solution Architect
    TECH
    December 2024 - Today (1 year and 6 months)
    Paris, France
    Design of an agentic platform based on Google ADK to create, deploy, manage, and orchestrate AI agents. Governance, Lifecycle, and security of AI agents.
    - Workflows, one-time and recurring tasks that automatically trigger agents, with access to tools, MCP, and RAG.
    - Integration of media models to generate video, images, and audio.

    **Tech Stack**: FastAPI, NestJS, ReactJS, NextJS, LangChain, LangGraph, Google ADK, RAG, embeddings, LLM, Langfuse, OAuth/OIDC, MCP tools, A2A, Veo 3, Sora, Seedance, Prometheus, Grafana, Loki, Tempo, Kubernetes, Docker, AMQP, REST, GraphQL, Async API, gRPC.
    Agentic AI AI Agent Google ADK Langchain LangGraph
  • Groupe Atlantic
    Data & AI Solution Architect
    RETAIL (LARGE RETAILERS)
    March 2024 - June 2024 (3 months)
    Paris, France
    POC Implementation of AI assistants based on a RAG architecture to answer technical and business questions about products distributed through multiple channels.
    - Identification of data sources and migration to the RAG foundation.
    - Collection of functional requirements and drafting of the functional and technical architecture document.

    **Tech Stack**: Azure Cloud, Azure Data Factory, Kubernetes, Docker, Ollama, LangChain, OpenAI GPT-4, Mistral AI, Llama 3, FastAPI, PostgreSQL, pgvector, Vespa, OAuth2/OIDC.
    Retrieval-Augmented Generation (RAG) Microsoft Azure AI Assistant LLMs
  • Renault
    Solution Architect
    AUTOMOBILE
    December 2022 - Today (3 years and 6 months)
    Boulogne-Billancourt, France
    Participation in the "Augmented Renault" program to transform IT/IS, Finance, Purchasing, Connected Vehicle, and HR functions through the adoption of AI assistants and agents combined with company data.
    - Design of Data & GenAI architectures, scoping of AI assistants and business agents.
    - POC of an AI assistant embedded in Renault vehicles and the MyRenault mobile application.

    **Tech Stack**: MLOps, NLP, RAG, LangChain, LangGraph, ADK, MCP Tools, A2A, Langfuse, AWS, GCP, Vertex AI, Bedrock, SageMaker, Kubernetes, Docker, Terraform, FastAPI, NestJS, OAuth2/OIDC, IAM, Grafana, Prometheus, Dynatrace, IoT, AMQP, MQTT, REST API, gRPC, Async API.
    IT Architecture Big Data Artificial Intelligence (AI) AI Chatbot AI Agent

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Education

  • Computer and Electronics Engineer
    Grenoble Institute of Technology
    2010
  • MSc (Master of Sciences) - Computer Science and Communication Engineering
    Chalmers University of Technology
    2011

Skill set

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