{
  "metadata": {
    "name": "Médéric Hurier",
    "alternate_name": "Fmind",
    "title": "Médéric Hurier (Fmind) | AI Architect (PhD) • Freelancer",
    "job_title": "AI Architect (PhD) • Freelancer",
    "headline_primary": "AI Architect (PhD) • VC Expert Advisor • AAIF Ambassador • GCP Certified Cloud Architect • AI Agents, MLOps \u0026 Security",
    "headline_secondary": "",
    "description": "Freelance AI Architect (PhD), VC Expert Advisor, AAIF Ambassador, and GCP Certified Cloud Architect specializing in production AI Agents, MLOps, and security.",
    "keywords": [
      "AI",
      "Machine Learning",
      "MLOps",
      "Artificial Intelligence",
      "AI Agents",
      "Agentic AI",
      "Generative AI",
      "Agentic AI Foundation",
      "AAIF",
      "Google Cloud",
      "GCP",
      "AI Security",
      "Venture Advisory",
      "Python",
      "Freelance",
      "Luxembourg"
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    "email": "contact@fmind.dev",
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    "twitter_handle": "@fmind_dev",
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        "url": "https://github.com/fmind",
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  "biography": [
    "I am a **freelance AI Architect** with a **PhD in AI and Computer Security**. I design and industrialize **AI agents**, **MLOps platforms**, and **secure cloud foundations**, turning fast-moving research into dependable production capabilities with clear controls, observability, and measurable outcomes.",
    "My work spans strategy and delivery: enterprise agent platforms at **Decathlon**, European fraud detection for the **European Commission**, and Android malware research with **Google**. I have also delivered AI, data, and security initiatives for BNP Paribas, ArcelorMittal, SFEIR, Clearstream, and the University of Luxembourg.",
    "Beyond client work, I serve as an **AAIF Ambassador** and Luxembourg organizer and contribute to the **33N Ventures Expert Advisory Board**. As a **Google Cloud Professional Cloud Architect**, I bring a pragmatic, security-first approach to systems that must operate reliably at scale."
  ],
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      "role": "Agentic AI Foundation Ambassador 2026",
      "organization": "The Linux Foundation",
      "description": "Selected to serve as an AAIF Ambassador and help grow the open agentic AI community.",
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      "role": "Expert Advisory Board Member",
      "organization": "33N Ventures",
      "description": "Contributing AI Agents, MLOps, and security expertise to 33N's venture advisory network.",
      "url": "https://33n.vc/team"
    },
    {
      "role": "Local Community Organizer",
      "organization": "AAIF Community Luxembourg",
      "description": "Organizing Luxembourg's local practitioner community and events around agentic AI.",
      "url": "https://luma.com/aaif-luxembourg"
    }
  ],
  "expertise": [
    {
      "title": "Agentic Orchestration",
      "emoji": "🤖",
      "description": "Building autonomous systems, reasoning engines, and reliable agentic workflows."
    },
    {
      "title": "Production MLOps",
      "emoji": "🚀",
      "description": "Robust deployment patterns on GCP, AWS, Azure, and Databricks for reliability."
    },
    {
      "title": "Security-First AI",
      "emoji": "🛡️",
      "description": "Leveraging a PhD background to build secure and trustworthy AI systems."
    },
    {
      "title": "Technical Strategy",
      "emoji": "🧭",
      "description": "Translating complex AI capabilities into clear, scalable architectural roadmaps."
    },
    {
      "title": "Data Science \u0026 ML",
      "emoji": "📊",
      "description": "Engineering machine learning models and data solutions for enterprise scale."
    },
    {
      "title": "Python Development",
      "emoji": "🐍",
      "description": "Building scalable applications, libraries, and tools with modern standards."
    }
  ],
  "experience": [
    {
      "company": "Decathlon",
      "logo": "decathlon.webp",
      "title": "AI/ML Architect",
      "brand_color": "#3643BA",
      "description": "Design and implement enterprise-scale Agents and MLOps platforms for AI/ML industrialization.",
      "tags": [
        "AI/ML",
        "Agents",
        "Gen AI",
        "MLOps"
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    },
    {
      "company": "European Commission",
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      "title": "AI/ML Engineer",
      "brand_color": "#004494",
      "description": "Contributed to Arachne, the European fraud detection system to ensure financial integrity.",
      "tags": [
        "AI/ML",
        "Fraud Detection",
        "Public Sector"
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    },
    {
      "company": "ArcelorMittal",
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      "title": "Data Scientist",
      "brand_color": "#F47D30",
      "description": "Trained and optimized AI/ML models for steel price recommendations in industrial markets.",
      "tags": [
        "AI/ML",
        "Data",
        "Forecasting",
        "Industry"
      ]
    },
    {
      "company": "BNP Paribas",
      "logo": "bgl-bnp-paribas.webp",
      "title": "Project Manager",
      "brand_color": "#00915E",
      "description": "Supervised the development of advanced transformer models for banking applications.",
      "tags": [
        "NLP",
        "Finance",
        "Project Management"
      ]
    },
    {
      "company": "Google",
      "logo": "google.webp",
      "title": "Research Partner",
      "brand_color": "#4285F4",
      "description": "Collaborated with the Android Security team to enhance malware detection and characterization.",
      "tags": [
        "AI/ML",
        "Security",
        "Big Data",
        "Android"
      ]
    },
    {
      "company": "SFEIR",
      "logo": "sfeir.webp",
      "title": "Data Engineer",
      "brand_color": "#000000",
      "description": "Delivered data engineering, technical consulting, recruitment, and pre-sales.",
      "tags": [
        "Data Engineering",
        "Consulting",
        "GCP"
      ]
    },
    {
      "company": "University of Luxembourg",
      "logo": "uni-lu.webp",
      "title": "Researcher \u0026 Teacher",
      "brand_color": "#E3000F",
      "description": "Conducted AI security research and taught AI/ML, Big Data, and Android development.",
      "tags": [
        "AI",
        "Security",
        "Research",
        "Teaching"
      ]
    },
    {
      "company": "Clearstream",
      "logo": "clearstream.webp",
      "title": "Security Engineer",
      "brand_color": "#008C95",
      "description": "Selected and configured a scalable SIEM solution to detect and respond to security incidents.",
      "tags": [
        "Big Data",
        "Security",
        "Banking",
        "SIEM"
      ]
    }
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      "title": "Architecting with GKE",
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    },
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      "title": "Machine Learning",
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  ],
  "thesis": {
    "title": "Creating better ground truth to further understand Android malware",
    "url": "https://orbilu.uni.lu/handle/10993/39903",
    "institution_details": "University of Luxembourg (SNT) \u0026 Google, 2019",
    "description": "AI/ML models are only as good as the data they learn from — yet Android malware ground truths are notoriously unreliable. This thesis tackles the problem by benchmarking antivirus engines, harmonizing their conflicting labels, and mining large-scale datasets to characterize malicious behavior.",
    "links": [
      {
        "label": "Servalx — Android Malware Processing",
        "url": "https://github.com/fmind/servalx"
      },
      {
        "label": "APKWorkers — Distributed Android Analysis",
        "url": "https://github.com/fmind/apkworkers"
      }
    ]
  },
  "papers": [
    {
      "title": "Euphony: Harmonious Unification of Cacophonous Anti-Virus Vendor Labels",
      "url": "https://orbilu.uni.lu/handle/10993/31441",
      "venue": "MSR 2017 • Mining Software Repositories",
      "code": "https://github.com/fmind/euphony",
      "code_label": "Euphony — Label Unification"
    },
    {
      "title": "On the Lack of Consensus in Anti-Virus Decisions",
      "url": "https://orbilu.uni.lu/handle/10993/27845",
      "venue": "DIMVA 2016 • Detection of Intrusions and Malware",
      "code": "https://github.com/fmind/stase",
      "code_label": "STASE — Statistical Metrics"
    }
  ],
  "posts": [
    {
      "title": "Architecting the AI Agent Platform: A Definitive Guide",
      "url": "https://fmind.medium.com/architecting-the-ai-agent-platform-a-definitive-guide-405750a3de44"
    },
    {
      "title": "MCP 2026–07–28: Stateless core, enterprise authorization, and SDK betas",
      "url": "https://fmind.medium.com/mcp-2026-07-28-stateless-core-enterprise-authorization-and-sdk-betas-2646a980d594"
    },
    {
      "title": "The Affordable AI Agents",
      "url": "https://fmind.medium.com/the-affordable-ai-agents-26d1d071d00b"
    },
    {
      "title": "Agent Levers: A Plan-Do-Check-Act Loop That Makes Coding Agents Finish What They Start",
      "url": "https://fmind.medium.com/agent-levers-a-plan-do-check-act-loop-that-makes-coding-agents-finish-what-they-start-8885e4618f38"
    },
    {
      "title": "AI Agents as an Operating System: Rediscovering the Linux Philosophy",
      "url": "https://fmind.medium.com/ai-agents-as-an-operating-system-rediscovering-the-linux-philosophy-f0e76f29ebdb"
    },
    {
      "title": "Powering Up Your Agent in Production with ADK, OAuth, and Gemini Enterprise",
      "url": "https://fmind.medium.com/powering-up-your-agent-in-production-with-adk-oauth-and-gemini-enterprise-a52b0716fcba"
    },
    {
      "title": "Stop Building Rigid AI/ML Pipelines: Embrace Reusable Components for Flexible MLOps",
      "url": "https://fmind.medium.com/stop-building-rigid-ai-ml-pipelines-embrace-reusable-components-for-flexible-mlops-6e165d837110"
    },
    {
      "title": "Make Your MLOps Code Base SOLID with Pydantic and Python's ABC",
      "url": "https://fmind.medium.com/make-your-mlops-code-base-solid-with-pydantic-and-pythons-abc-aeedfe9c3e65"
    }
  ],
  "open_source": [
    {
      "title": "mlops-python-package",
      "href": "https://github.com/fmind/mlops-python-package",
      "description": "Kickstart your MLOps initiative with a flexible, robust, and productive Python package."
    },
    {
      "title": "cookiecutter-mlops-package",
      "href": "https://github.com/fmind/cookiecutter-mlops-package",
      "description": "Start building and deploying Python packages and Docker images for MLOps."
    },
    {
      "title": "MLOps Coding Course",
      "href": "https://mlops-coding-course.fmind.dev/",
      "repo": "https://github.com/MLOps-Courses/mlops-coding-course",
      "description": "Learn to create, develop, and maintain a state-of-the-art MLOps code base."
    }
  ],
  "youtube_series": [
    {
      "title": "Bleeding Agent",
      "url": "https://www.youtube.com/playlist?list=PLPCnNL6Y2PbTckW80gDLnznFMDEz18HBS",
      "description": "Technical deep dives into the Black Box of AI Agents and emerging autonomous systems.",
      "cta": "View Podcast"
    },
    {
      "title": "AI Agents in a Nut$SHELL",
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      "description": "Brief, high-signal deep dives into the core architecture and inner workings of AI Agents.",
      "cta": "View Playlist"
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  ],
  "services": [
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      "icon": "🏢",
      "title": "AI Architecture \u0026 Advisory",
      "description": "Engage me to assess, design, and scale AI initiatives — from agent platforms and MLOps to security and operating models.",
      "badge": "🔴 Not available for new missions",
      "badge_type": "error",
      "cta_text": "✉️ Get in Touch",
      "cta_url": "mailto:contact@fmind.dev"
    },
    {
      "icon": "🎓",
      "title": "Mentoring",
      "description": "Book a paid 1-hour session to discuss your projects: upskilling, career mentoring, architecture review, brainstorming, and more.",
      "badge": "💰 Paid session — 1 hour",
      "badge_type": "info",
      "cta_text": "📅 Book a Session",
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}