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Charaf SardiCS

Charaf Sardi

Product Tech Lead · Applied AI & Automation

€250/day
Lille, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Charaf

  • French

    Native or bilingual

  • English

    Fluent

  • Arabic

    Fluent

Remote only
Primarily works remotely

Experience

  • SNCF
    Embedded Product Tech Lead | Critical Communication Systems | Applied AI
    February 2022 - Today (4 years and 5 months)
    Lille, France
    Leading the complete lifecycle of a critical railway communication embedded product, in continuous 24/7 operation.

    ▸ Product Leadership: Defining the roadmap, investment decisions, prioritizing evolutions based on business and operational needs.

    ▸ Governance: Technical committees, SQCDP reporting, multi-year maintenance plans, obsolescence management, and service continuity.

    ▸ Cross-functional Coordination: Managing interactions between engineering, procurement, operations, maintenance teams, suppliers, and industrial partners.

    ▸ Operator Relations: Qualifying field needs, prioritizing fixes, managing validation and deployment cycles.

    ▸ Technological Watch: Benchmarking embedded communication architectures, recommending medium/long-term product trajectory.

    ▸ Applied AI & Data: Designing Python pipelines for operational data analysis (Power BI reporting, ETL automation) to monitor field reliability and performance.

    Context: Critical industrial environment · 24/7 operation · multi-stakeholder management · safety and service continuity constraints.
  • Anamès
    Founder & Product Lead
    TECH
    October 2025 - Today (9 months)
    Lille, France
    Anamès is a SaaS platform for narrative archiving using artificial intelligence: capturing stories through AI-guided interviews, semantic structuring of life stories, and multimodal output (text, audio, video).

    ▸ End-to-end Product Leadership: Design, architecture, tech stack choices, technical partnerships, market positioning, and strategy.

    ▸ Narrative Interview Framework: Designed based on academic research in psychology and a semantic retrieval engine on pgvector.

    ▸ AI Stack: LLMs (multi-provider), semantic RAG, conversational agents, voice cloning, video generation, n8n orchestration.

    ▸ Market Validation: User research with professionals (psychologists, coaches), iterations on the B2B angle.

    ▸ Technical Stack: TypeScript · Next.js · Supabase · pgvector · Vercel · Clerk · n8n · Python.

    🌐 anames.fr

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Education

  • Degree in Embedded Systems Engineering and Intelligent Transport
    INSA
    2021
    Diplôme Ingénierie des Systèmes Embarqués et Transport Intelligent
  • Bachelor's Degree in Electrical Engineering and Industrial Computing
    University of Polytechnic of Hauts-de-France
    2019
    Licence Génie Électrique et Informatique Industrielle

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