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Yann S.YS

Yann S.

MCP Developer & AI Integration

€1,500/day
Therwil, CH
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Yann

I am a Software Engineer in Switzerland, specializing in integrating artificial intelligence into business processes.

My focus is on theModel Context Protocol (MCP)— the open standard that enables AI assistants like Claude, GPT, or Copilot to work directly with your internal systems: ERP, ticketing, databases, APIs, network infrastructure.

Specifically, this means: I buildcustom MCP serversthat connect your existing tools to LLMs. I developautonomous AI agentsthat handle complex workflows — ticket triage, reporting, monitoring, data extraction. And I advise you on the architecture of your **internal AI strategy**. Not disruption, but pragmatic evolution.

What sets me apart:I come from the regulated world.Pharma automation, GxP, 21 CFR Part 11 — I know what it means to work in environments where traceability and quality are not optional.My MCP servers are in productive usefor network management, ticketing, and project management. Fullstack with TypeScript, Go, and Python, and I work inGerman, French, and Englishwithout detours.

No AI hype.Measurable results.
  • French

    Native or bilingual

  • German

    Conversational

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • Actemium Schweiz AG
    Software & Industrial Systems Engineer
    PHARMACEUTICALS INDUSTRY
    April 2020 - Today (6 years and 2 months)
    Arlesheim, Switzerland
    I work at the intersection of software engineering, industrial systems, and infrastructure. My mission is to bring modern IT practices into the operational technology world while preserving the reliability, safety, and constraints that define industrial environments.

    My role includes:

    - Designing and implementing modern industrial architectures that blend software engineering principles with OT requirements such as determinism, safety, and network segmentation.

    - Building tools and platforms that help automation engineers develop, test, deploy, and maintain industrial logic more efficiently.

    - Introducing IT methodologies into OT workflows, including containerization, reproducible environments, versioning, DevOps pipelines, and automated deployments.

    - Collaborating closely with OT teams to understand field realities, integrate with PLCs and industrial networks, and ensure solutions remain practical and intuitive.

    - Developing distributed systems to manage fleets of industrial devices, handle updates safely, centralize telemetry, and improve observability.

    - Acting as a bridge between IT and OT, improving collaboration and aligning practices across disciplines.

    - Exploring edge computing and on-device AI, enabling smarter and more autonomous industrial processes.

    - Ensuring robustness and security by applying best practices from both IT engineering and industrial standards.


    Overall, I focus on modernizing industrial systems with the agility of IT and the reliability of OT, helping organizations build architectures that are modular, collaborative, and future-ready.
    Typescript React.js Node.js Docker Git

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Education

  • Master's Degree, Computer Science Engineering
    CESI
    2023
    Diplôme d'ingénieur, Ingénierie informatique

Certifications

Skill set

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