<!DOCTYPE html>
<html lang="es">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Eduardo Valencia — CV</title>
<link href="https://fonts.googleapis.com/css2?family=Playfair+Display:wght@400;500;700&family=DM+Sans:wght@300;400;500&display=swap" rel="stylesheet">
<style>
  :root {
    --navy: #1B2E4B;
    --gold: #C9A84C;
    --gold-light: #E8C96A;
    --cream: #FAF8F4;
    --mid: #6B6B8A;
    --text: #1A1A2E;
    --rule: #DDD8CC;
  }
  * { margin: 0; padding: 0; box-sizing: border-box; }
  body { background: var(--cream); color: var(--text); font-family: 'DM Sans', sans-serif; font-weight: 300; line-height: 1.7; min-height: 100vh; }

  /* LANG TOGGLE */
  .lang-toggle {
    position: fixed;
    top: 20px;
    right: 24px;
    z-index: 100;
    display: flex;
    gap: 4px;
    background: rgba(27,46,75,0.9);
    padding: 5px;
    border-radius: 4px;
    backdrop-filter: blur(8px);
  }
  .lang-btn {
    font-family: 'DM Sans', sans-serif;
    font-size: 12px;
    font-weight: 500;
    letter-spacing: 1.5px;
    padding: 5px 14px;
    border: none;
    border-radius: 2px;
    cursor: pointer;
    transition: all 0.2s;
    background: transparent;
    color: rgba(255,255,255,0.45);
  }
  .lang-btn.active {
    background: var(--gold);
    color: var(--navy);
  }

  /* HEADER */
  header { background: var(--navy); padding: 64px 80px 56px; position: relative; overflow: hidden; }
  header::before { content: 'EV'; position: absolute; right: -20px; top: -30px; font-family: 'Playfair Display', serif; font-size: 260px; font-weight: 700; color: rgba(255,255,255,0.03); line-height: 1; user-select: none; pointer-events: none; }
  .header-inner { max-width: 900px; margin: 0 auto; display: grid; grid-template-columns: 1fr auto; gap: 40px; align-items: end; }
  .name { font-family: 'Playfair Display', serif; font-size: 52px; font-weight: 700; color: #fff; line-height: 1.1; letter-spacing: -1px; }
  .name span { display: block; color: var(--gold); }
  .title-tag { margin-top: 16px; font-size: 13px; font-weight: 500; letter-spacing: 2.5px; text-transform: uppercase; color: rgba(255,255,255,0.55); }
  .contact-block { text-align: right; display: flex; flex-direction: column; gap: 6px; }
  .contact-block a { color: var(--gold); text-decoration: none; font-size: 13.5px; font-weight: 400; transition: color 0.2s; }
  .contact-block a:hover { color: var(--gold-light); }
  .contact-block span { color: rgba(255,255,255,0.4); font-size: 13px; }

  .gold-bar { height: 4px; background: linear-gradient(90deg, var(--gold) 0%, var(--gold-light) 60%, transparent 100%); }

  /* MAIN */
  main { max-width: 900px; margin: 0 auto; padding: 0 80px 80px; display: grid; grid-template-columns: 1fr 260px; gap: 0 60px; }
  .section { padding-top: 52px; }
  .section-title { font-family: 'Playfair Display', serif; font-size: 11px; font-weight: 500; letter-spacing: 3px; text-transform: uppercase; color: var(--gold); margin-bottom: 20px; display: flex; align-items: center; gap: 12px; }
  .section-title::after { content: ''; flex: 1; height: 1px; background: var(--rule); }
  .about-text { font-size: 15.5px; color: var(--text); line-height: 1.8; font-weight: 300; }
  .about-text strong { font-weight: 500; color: var(--navy); }

  /* ROLES */
  .role { padding: 28px 0; border-bottom: 1px solid var(--rule); }
  .role:last-child { border-bottom: none; }
  .role-header { display: flex; justify-content: space-between; align-items: baseline; gap: 16px; margin-bottom: 4px; }
  .role-title { font-family: 'Playfair Display', serif; font-size: 17px; font-weight: 500; color: var(--navy); }
  .role-period { font-size: 12px; font-weight: 500; letter-spacing: 1px; color: var(--gold); white-space: nowrap; flex-shrink: 0; }
  .role-company { font-size: 13px; font-weight: 500; color: var(--mid); letter-spacing: 0.5px; margin-bottom: 10px; text-transform: uppercase; }
  .role-desc { font-size: 14.5px; color: #444; line-height: 1.75; font-weight: 300; }
  .role-tag { display: inline-block; margin-top: 10px; font-size: 11px; font-weight: 500; letter-spacing: 1.5px; text-transform: uppercase; color: var(--navy); background: rgba(27,46,75,0.07); padding: 3px 10px; border-radius: 2px; margin-right: 6px; }

  /* SIDEBAR */
  .sidebar { border-left: 1px solid var(--rule); padding-left: 40px; }
  .sidebar-item { margin-bottom: 18px; }
  .sidebar-label { font-size: 11px; font-weight: 500; letter-spacing: 1.5px; text-transform: uppercase; color: var(--mid); margin-bottom: 4px; }
  .sidebar-value { font-size: 14px; color: var(--text); font-weight: 300; }
  .sidebar-value strong { font-weight: 500; color: var(--navy); }

  /* LANGUAGES */
  .lang-item { display: flex; align-items: center; gap: 10px; margin-bottom: 12px; }
  .lang-name { font-size: 14px; font-weight: 400; color: var(--text); width: 90px; flex-shrink: 0; }
  .lang-bar-wrap { flex: 1; height: 3px; background: var(--rule); border-radius: 2px; }
  .lang-bar { height: 3px; background: var(--gold); border-radius: 2px; }
  .lang-level { font-size: 11px; color: var(--mid); width: 50px; text-align: right; flex-shrink: 0; }

  /* SKILLS */
  .skill-pill { display: inline-block; font-size: 12px; font-weight: 400; color: var(--navy); border: 1px solid rgba(27,46,75,0.2); padding: 4px 11px; border-radius: 2px; margin: 0 5px 7px 0; letter-spacing: 0.3px; }

  /* AWARDS */
  .award { padding: 12px 0 12px 14px; border-left: 3px solid var(--gold); margin-bottom: 14px; }
  .award-title { font-size: 13.5px; font-weight: 500; color: var(--navy); }
  .award-body { font-size: 12.5px; color: var(--mid); margin-top: 2px; }

  /* PUBLICATIONS */
  .pub { margin-bottom: 18px; }
  .pub-title { font-family: 'Playfair Display', serif; font-size: 14px; font-style: italic; color: var(--navy); line-height: 1.4; }
  .pub-series { font-size: 12px; color: var(--mid); margin-top: 3px; }

  footer { background: var(--navy); padding: 28px 80px; text-align: center; }
  footer p { font-size: 12px; color: rgba(255,255,255,0.3); letter-spacing: 1px; }
  footer a { color: var(--gold); text-decoration: none; }

  @keyframes fadeUp { from { opacity: 0; transform: translateY(20px); } to { opacity: 1; transform: translateY(0); } }
  header { animation: fadeUp 0.6s ease both; }
  main > * { animation: fadeUp 0.6s ease both; animation-delay: 0.15s; }

  /* Hidden lang content */
  [data-lang] { display: none; }
  body.lang-es [data-lang="es"] { display: block; }
  body.lang-en [data-lang="en"] { display: block; }
  body.lang-es [data-lang-inline="es"] { display: inline; }
  body.lang-en [data-lang-inline="en"] { display: inline; }
  [data-lang-inline] { display: none; }

  @media (max-width: 720px) {
    header { padding: 40px 28px 36px; }
    .header-inner { grid-template-columns: 1fr; }
    .contact-block { text-align: left; }
    main { padding: 0 28px 60px; grid-template-columns: 1fr; }
    .sidebar { border-left: none; padding-left: 0; border-top: 1px solid var(--rule); }
    .name { font-size: 38px; }
    .lang-toggle { top: 12px; right: 12px; }
  }

  .photo-wrap { width: 90px; height: 90px; border-radius: 50%; overflow: hidden; border: 2px solid var(--gold); flex-shrink: 0; margin-bottom: 8px; }
  .photo-wrap img { width: 100%; height: 100%; object-fit: cover; object-position: center top; }
  .header-left { display: flex; align-items: center; gap: 24px; }
</style>
</head>
<body class="lang-en">

<div class="lang-toggle">
  <button class="lang-btn" onclick="setLang('es')">ES</button>
  <button class="lang-btn active" onclick="setLang('en')">EN</button>
</div>

<header>
  <div class="header-inner">
    <div class="header-left">
      <div class="photo-wrap"><img 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" alt="Eduardo Valencia"></div>
      <div>
        <div class="name">Eduardo<span>Valencia</span></div>
        <div class="title-tag">
          <span data-lang-inline="en">CAIO · 4AI Companions &nbsp;·&nbsp; Premi València d'Assaig 2026 &nbsp;·&nbsp; Econometrician</span>
          <span data-lang-inline="es">CAIO · 4AI Companions &nbsp;·&nbsp; Premi València d'Assaig 2026 &nbsp;·&nbsp; Econometrista</span>
        </div>
      </div>
    </div>
    <div class="contact-block">
      <a href="https://www.linkedin.com/in/eduardovalencia">LinkedIn</a>
      <a href="https://4aicompanions.com" style="color:var(--gold-light);font-weight:500">4aicompanions.com</a>
      <a href="https://4ai.uno" style="color:var(--gold-light);font-weight:500">4ai.uno</a>
      <a href="https://merickson.ai">merickson.ai</a>
      <a href="https://pragmagroup.ai">pragmagroup.ai</a>
      <a href="https://emaiten.eus">emaiten.eus</a>
      <span>+1 347 314 8451 &nbsp;·&nbsp; +34 643 350 648</span>
      <span>21 Village Green Ct, South Orange, NJ 07079</span>
      <span data-lang-inline="en">United States &nbsp;·&nbsp; Spain</span>
      <span data-lang-inline="es">Estados Unidos &nbsp;·&nbsp; España</span>
    </div>
  </div>
</header>

<div class="gold-bar"></div>

<main>
  <div>

    <!-- ABOUT -->
    <section class="section">
      <div class="section-title" data-lang-inline="en">Profile</div>
      <div class="section-title" data-lang-inline="es">Perfil</div>

      <div data-lang="en">
        <p class="about-text">Computational linguist, econometrician and Machine Learning specialist with over 15 years of experience building and auditing AI systems in high-stakes, regulated environments. <strong>For 10 years I worked as an AI Engineer at Reddit Inc. in New York</strong>, contributing to the validation and risk management of probabilistic decision systems deployed at global scale.</p>
        <br>
        <p class="about-text">Founder of <strong>Shadow AI Risk Advisory</strong>, working with enterprise IT and HR leadership teams to audit informal AI usage, map decision architectures and identify regulatory exposure. Active consultant for <strong>Pfizer AI projects globally</strong>, including a healthcare project in Australia (2026).</p>
        <br>
        <p class="about-text">Co-founder of <strong>Kairós</strong>, a sovereign European AI governance platform built for EU AI Act compliance.</p>
      </div>

      <div data-lang="es">
        <p class="about-text">Lingüista computacional, econometrista y especialista en Machine Learning con más de 15 años de experiencia construyendo y auditando sistemas de IA en entornos de alta exigencia regulatoria. <strong>Durante 10 años trabajé como AI Engineer en Reddit Inc. en Nueva York</strong>, contribuyendo a la validación y gestión de riesgo de sistemas de decisión probabilística a escala global.</p>
        <br>
        <p class="about-text">Fundador de <strong>Shadow AI Risk Advisory</strong>, trabajo con equipos de liderazgo IT y RRHH para auditar el uso informal de IA, mapear arquitecturas de decisión e identificar exposición regulatoria. Consultor activo para proyectos de IA de <strong>Pfizer a nivel global</strong>, con un proyecto en hospitales de Australia en curso (2026).</p>
        <br>
        <p class="about-text">Co-fundador de <strong>Kairós</strong>, infraestructura soberana europea de gobernanza de IA para el cumplimiento del EU AI Act.</p>
      </div>
    </section>

    <!-- EXPERIENCE -->
    <section class="section">
      <div class="section-title" data-lang-inline="en">Experience</div>
      <div class="section-title" data-lang-inline="es">Experiencia</div>

      <div class="role">
        <div class="role-header">
          <div class="role-title">CAIO — AI Architecture</div>
          <div class="role-period">2025 —</div>
        </div>
        <div class="role-company"><a href="https://4ai.uno" style="color:var(--gold);text-decoration:none">4ai.uno</a> &nbsp;·&nbsp; <a href="https://4aicompanions.com" style="color:var(--gold);text-decoration:none">4aicompanions.com</a> · Madrid</div>
        <p class="role-desc" data-lang-inline="en">AI Assistant infrastructure for HR — sovereign, compliant, relational. Four AI companions (Ara, Leo, Nova, Sage) deployed inside corporate infrastructure for wellbeing, career development, change management and training. Native EU AI Act governance via Kairós. First LOI signed April 2026 (Martinearth / Serbatic). Raising €10M Seed round.</p>
        <p class="role-desc" data-lang-inline="es">Infraestructura de asistentes IA para RRHH — soberana, conforme y relacional. Cuatro compañeros IA (Ara, Leo, Nova, Sage) desplegados dentro de la infraestructura corporativa para bienestar, desarrollo profesional, gestión del cambio y formación. Gobernanza nativa EU AI Act vía Kairós. Primer LOI firmado abril 2026 (Martinearth / Serbatic). Ronda Seed de 10M€ en curso.</p>
        <span class="role-tag">AI Product</span><span class="role-tag">Monetization AI</span><span class="role-tag">EU AI Act</span>
      </div>

      <div class="role">
        <div class="role-header">
          <div class="role-title">Co-founder &amp; Chief AI Officer</div>
          <div class="role-period">2025 —</div>
        </div>
        <div class="role-company">Kairós · Pamplona</div>
        <p class="role-desc" data-lang-inline="en">European AI governance platform for EU AI Act compliance. Product architecture, governance module design and regulatory strategy. Functional prototype live at kairos.luquin.com.</p>
        <p class="role-desc" data-lang-inline="es">Plataforma europea de gobernanza de IA para el EU AI Act. Arquitectura del producto, diseño de módulos de gobernanza y estrategia regulatoria. Prototipo funcional en producción en kairos.luquin.com.</p>
        <span class="role-tag">AI Governance</span><span class="role-tag">EU AI Act</span><span class="role-tag">Data Sovereignty</span>
      </div>

      <div class="role">
        <div class="role-header">
          <div class="role-title">Founder, Shadow AI Risk Advisory</div>
          <div class="role-period">2024 —</div>
        </div>
        <div class="role-company">Shadow AI Risk Advisory · Madrid</div>
        <p class="role-desc" data-lang-inline="en">Advisory practice specialised in enterprise AI governance. AI usage audits, model dependency mapping, regulatory exposure assessment and board-ready risk briefings.</p>
        <p class="role-desc" data-lang-inline="es">Consultoría especializada en gobernanza de IA enterprise. Auditorías de uso de IA, mapeo de dependencias de modelos, evaluación de exposición regulatoria e informes de riesgo para consejos de administración.</p>
        <span class="role-tag">Enterprise</span><span class="role-tag">Risk Advisory</span>
      </div>

      <div class="role">
        <div class="role-header">
          <div class="role-title">AI Engineer &amp; Decision Systems Analyst</div>
          <div class="role-period">2014 — 2024</div>
        </div>
        <div class="role-company">Reddit, Inc. · New York (10 years)</div>
        <p class="role-desc" data-lang-inline="en">Contributed to probabilistic decision systems deployed at global scale on one of the world's highest-traffic digital platforms. Work focused on validation, monitoring and operational risk assessment of AI-influenced decision workflows. Parallel AI consulting for Pfizer during this period, in collaboration with Sngular (José Luis Vallejo).</p>
        <p class="role-desc" data-lang-inline="es">Contribución a sistemas de decisión probabilística desplegados a escala global en una de las plataformas digitales de mayor tráfico del mundo. Validación, monitorización y evaluación de riesgo operacional asociado a flujos de decisión mediados por IA. Consultoría paralela para Pfizer durante este periodo, en colaboración con Sngular (José Luis Vallejo).</p>
        <span class="role-tag">Machine Learning</span><span class="role-tag">Decision Systems</span><span class="role-tag">AI Risk</span>
      </div>

      <div class="role">
        <div class="role-header">
          <div class="role-title">Founder &amp; CEO — CLUSTERTIC Award</div>
          <div class="role-period">2009 — 2013</div>
        </div>
        <div class="role-company">Marque. Online Marketing &amp; Analytics</div>
        <p class="role-desc" data-lang-inline="en">Named most innovative ICT company of the year by CLUSTERTIC. NLP and machine learning personalisation technology deployed across Spain, France, UK, Ireland, Italy, Germany, Austria and Greece.</p>
        <p class="role-desc" data-lang-inline="es">Premio CLUSTERTIC a la empresa TIC más innovadora del año. Tecnología NLP y machine learning de personalización desplegada en España, Francia, Reino Unido, Irlanda, Italia, Alemania, Austria y Grecia.</p>
        <span class="role-tag">NLP</span><span class="role-tag">9 European markets</span>
      </div>

      <div class="role">
        <div class="role-header">
          <div class="role-title">Founder &amp; CEO</div>
          <div class="role-period">2011 — 2014</div>
        </div>
        <div class="role-company">Playing for Learning · Pamplona / Europe / LATAM</div>
        <p class="role-desc" data-lang-inline="en">AI-assisted EdTech learning platform. Macmillan contract for distribution across Europe and Latin America. €700K raised including €300K personal capital. Hands-on experience across the full product, investment and scaling cycle.</p>
        <p class="role-desc" data-lang-inline="es">Plataforma EdTech de aprendizaje asistido por IA. Contrato con Macmillan para distribución en Europa y Latinoamérica. 700.000€ en financiación incluyendo 300.000€ de capital propio. Experiencia directa en el ciclo completo de producto, inversión y escalado.</p>
        <span class="role-tag">EdTech</span><span class="role-tag">AI Product</span><span class="role-tag">€700K raised</span>
      </div>

      <div class="role">
        <div class="role-header">
          <div class="role-title" data-lang-inline="en">Founder &amp; Driving Force</div>
          <div class="role-title" data-lang-inline="es">Fundador y fuerza motriz</div>
          <div class="role-period">1999 — 2012</div>
        </div>
        <div class="role-company" data-lang-inline="en">Basque Media Library of Navarre · Pamplona</div>
        <div class="role-company" data-lang-inline="es">Mediateka Vasca de Navarra · Pamplona</div>
        <p class="role-desc" data-lang-inline="en">Euskarabidea / Basque Institute of Navarre project to digitise, classify and make publicly accessible the Basque linguistic heritage of Navarre. Computerised system with a corpus of 733,205 structured examples. An early precursor to modern NLP resources for minority languages.</p>
        <p class="role-desc" data-lang-inline="es">Proyecto del Instituto Vasco de Navarra para la digitalización, clasificación y acceso público al patrimonio lingüístico vasco de Navarra. Sistema informatizado con corpus de 733.205 ejemplos estructurados. Precursor de los recursos NLP modernos para lenguas minoritarias.</p>
        <span class="role-tag">NLP</span><span class="role-tag">Digital Heritage</span>
      </div>
    </section>

    <!-- PUBLICATIONS -->
    <section class="section">
      <div class="section-title" data-lang-inline="en">Publications</div>
      <div class="section-title" data-lang-inline="es">Publicaciones</div>

      <div class="pub"><div class="pub-title"><a href="https://www.amazon.com/dp/B0GMJCX3F2" target="_blank" style="color:var(--navy);text-decoration:none;border-bottom:1px solid var(--gold);padding-bottom:1px;transition:opacity 0.2s;" onmouseover="this.style.opacity='0.7'" onmouseout="this.style.opacity='1'">I Don't Want to Believe</a></div><div class="pub-series">Thinking AI Series · Vol. 3 · Amazon KDP, 2025</div></div>
      <div class="pub"><div class="pub-title"><a href="https://www.amazon.com/dp/B0GQVFMV4K" target="_blank" style="color:var(--navy);text-decoration:none;border-bottom:1px solid var(--gold);padding-bottom:1px;transition:opacity 0.2s;" onmouseover="this.style.opacity='0.7'" onmouseout="this.style.opacity='1'">Shadow AI: The IT Playbook</a></div><div class="pub-series">Thinking AI: Applied · Vol. 1 · Amazon KDP, 2025</div></div>
      <div class="pub"><div class="pub-title"><a href="https://www.amazon.com/dp/B0GHZZ2TH3" target="_blank" style="color:var(--navy);text-decoration:none;border-bottom:1px solid var(--gold);padding-bottom:1px;transition:opacity 0.2s;" onmouseover="this.style.opacity='0.7'" onmouseout="this.style.opacity='1'">Shadow AI</a></div><div class="pub-series">Thinking AI Series · Vol. 2 · Amazon KDP, 2024</div></div>
      <div class="pub"><div class="pub-title"><a href="https://www.amazon.com/dp/B0GM25V3SD" target="_blank" style="color:var(--navy);text-decoration:none;border-bottom:1px solid var(--gold);padding-bottom:1px;transition:opacity 0.2s;" onmouseover="this.style.opacity='0.7'" onmouseout="this.style.opacity='1'">Artificial Intelligence Requires More Human Intelligence</a></div><div class="pub-series">Thinking AI Series · Vol. 1 · Amazon KDP, 2024</div></div>
      <div class="pub"><div class="pub-title"><a href="https://www.amazon.com/dp/B0GQYVWV17" target="_blank" style="color:var(--navy);text-decoration:none;border-bottom:1px solid var(--gold);padding-bottom:1px;transition:opacity 0.2s;" onmouseover="this.style.opacity='0.7'" onmouseout="this.style.opacity='1'">People Analytics AI</a></div><div class="pub-series">Thinking AI: Applied · Vol. 4 · Amazon KDP, 2024</div></div>
      <div class="pub"><div class="pub-title" data-lang-inline="en"><a href="https://www.euskaltzaindia.eus/es/euskaltzaindia/organigrama/seccion-de-investigacion/387-lexicografia/6747-i-4-proyecto-diccionario-general-vasco" target="_blank" style="color:var(--navy);text-decoration:none;border-bottom:1px solid var(--gold);padding-bottom:1px;transition:opacity 0.2s;" onmouseover="this.style.opacity='0.7'" onmouseout="this.style.opacity='1'">General Basque Dictionary (digital structured edition)</a></div><div class="pub-title" data-lang-inline="es"><a href="https://www.euskaltzaindia.eus/es/euskaltzaindia/organigrama/seccion-de-investigacion/387-lexicografia/6747-i-4-proyecto-diccionario-general-vasco" target="_blank" style="color:var(--navy);text-decoration:none;border-bottom:1px solid var(--gold);padding-bottom:1px;transition:opacity 0.2s;" onmouseover="this.style.opacity='0.7'" onmouseout="this.style.opacity='1'">Diccionario General Vasco (edición digital estructurada)</a></div><div class="pub-series">Euskaltzaindia · 2026</div></div>
      <div class="pub"><div class="pub-title"><a href="https://www.amazon.com/dp/B07CN75CQC" target="_blank" style="color:var(--navy);text-decoration:none;border-bottom:1px solid var(--gold);padding-bottom:1px;transition:opacity 0.2s;" onmouseover="this.style.opacity='0.7'" onmouseout="this.style.opacity='1'">People Analytics. Structured and Unstructured Data for HR</a></div><div class="pub-series">LeanPub · 2017</div></div>
    </section>

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  <div class="sidebar">

    <section class="section">
      <div class="section-title" data-lang-inline="en">Education</div>
      <div class="section-title" data-lang-inline="es">Formación</div>

      <div class="sidebar-item">
        <div class="sidebar-label" data-lang-inline="en">Applied Econometrics</div>
        <div class="sidebar-label" data-lang-inline="es">Econometría aplicada</div>
        <div class="sidebar-value"><strong data-lang-inline="en">MSc Applied Economics &amp; Statistics</strong><strong data-lang-inline="es">Máster en Economía Aplicada y Estadística</strong><br>UNED · 2021-2022<br><em style="color:var(--gold);font-size:12px">Distinction (A)</em></div>
      </div>

      <div class="sidebar-item">
        <div class="sidebar-label">Data Science</div>
        <div class="sidebar-value"><strong>Master in Data Science</strong><br>KSchool · 2016<br>Python, R, ML, Deep Learning, Spark</div>
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    <section class="section">
      <div class="section-title" data-lang-inline="en">Languages</div>
      <div class="section-title" data-lang-inline="es">Idiomas</div>

      <div class="lang-item"><div class="lang-name">Basque</div><div class="lang-bar-wrap"><div class="lang-bar" style="width:100%"></div></div><div class="lang-level">Native</div></div>
      <div class="lang-item"><div class="lang-name">Spanish</div><div class="lang-bar-wrap"><div class="lang-bar" style="width:100%"></div></div><div class="lang-level">Native</div></div>
      <div class="lang-item"><div class="lang-name">English</div><div class="lang-bar-wrap"><div class="lang-bar" style="width:100%"></div></div><div class="lang-level">C2</div></div>
      <div class="lang-item"><div class="lang-name">French</div><div class="lang-bar-wrap"><div class="lang-bar" style="width:80%"></div></div><div class="lang-level">C1</div></div>
      <div class="lang-item"><div class="lang-name">German</div><div class="lang-bar-wrap"><div class="lang-bar" style="width:55%"></div></div><div class="lang-level">B1</div></div>
      <div class="lang-item"><div class="lang-name">Valencian</div><div class="lang-bar-wrap"><div class="lang-bar" style="width:100%"></div></div><div class="lang-level">C2</div></div>
    </section>

    <section class="section">
      <div class="section-title" data-lang-inline="en">Skills</div>
      <div class="section-title" data-lang-inline="es">Competencias</div>
      <div>
        <span class="skill-pill">AI Governance</span><span class="skill-pill">EU AI Act</span><span class="skill-pill">Machine Learning</span><span class="skill-pill">Econometrics</span><span class="skill-pill">NLP</span><span class="skill-pill">Python</span><span class="skill-pill">R</span><span class="skill-pill">Decision Systems</span><span class="skill-pill">Risk Assessment</span><span class="skill-pill">People Analytics</span><span class="skill-pill">Shadow AI</span><span class="skill-pill">Spark</span><span class="skill-pill">Tableau</span>
      </div>
    </section>

    <section class="section">
      <div class="section-title" data-lang-inline="en">Awards</div>
      <div class="section-title" data-lang-inline="es">Reconocimientos</div>

      <div class="award">
        <div class="award-title">CLUSTERTIC Award</div>
        <div class="award-body" data-lang-inline="en">Most innovative ICT company · 2011</div>
        <div class="award-body" data-lang-inline="es">Empresa TIC más innovadora · 2011</div>
      </div>
      <div class="award">
        <div class="award-title" data-lang-inline="en">General Basque Dictionary</div>
        <div class="award-title" data-lang-inline="es">Diccionario General Vasco</div>
        <div class="award-body">Euskaltzaindia · 2026 · 147,258 entries</div>
      </div>
      <div class="award">
        <div class="award-title">Macmillan Contract</div>
        <div class="award-body" data-lang-inline="en">Europe + LATAM distribution · 2013</div>
        <div class="award-body" data-lang-inline="es">Distribución Europa + LATAM · 2013</div>
      </div>
    </section>

    <section class="section">
      <div class="section-title" data-lang-inline="en">Active projects</div>
      <div class="section-title" data-lang-inline="es">Proyectos activos</div>

      <div class="sidebar-item">
        <div class="sidebar-label">2026</div>
        <div class="sidebar-value">
          <strong>Premi València d'Assaig 2026</strong><br>
          <em>La tirania del cas únic. Llengua, IA i l'agregat invisible al País Valencià</em><br>
          Institució Alfons el Magnànim · Diputació de València · 15.000 € · Publicació nov. 2026<br>
          <a href="https://www.alfonselmagnanim.net/noticia/la-diputacio-de-valencia-dona-a-coneixer-els-guanyadors-dels-premis-valencia-i-valencia-nova-2026_8719/" style="font-size:11px;color:#888;text-decoration:none" target="_blank">alfonselmagnanim.net →</a>
        </div>
      </div>

      <div class="sidebar-item">
        <div class="sidebar-label">2025 —</div>
        <div class="sidebar-value"><a href="https://4aicompanions.com" style="color:var(--gold);text-decoration:none;font-weight:500">4aicompanions.com</a> &nbsp;·&nbsp; <a href="https://4ai.uno" style="color:var(--gold);text-decoration:none;font-weight:500">4ai.uno</a><br><span data-lang-inline="en" style="font-size:13px;color:#555">CAIO. AI Assistant infrastructure for HR. Sovereign EU, EU AI Act native. Seed €10M.</span><span data-lang-inline="es" style="font-size:13px;color:#555">CAIO. Infraestructura de asistentes IA para RRHH. Soberanía europea, EU AI Act nativo. Ronda €10M.</span></div>
      </div>

      <div class="sidebar-item">
        <div class="sidebar-label">2026</div>
        <div class="sidebar-value"><strong>Pfizer · Australia</strong><br><span data-lang-inline="en">AI consulting in regulated healthcare</span><span data-lang-inline="es">Consultoría IA en sanidad regulada</span></div>
      </div>
      <div class="sidebar-item">
        <div class="sidebar-label">2025 —</div>
        <div class="sidebar-value"><strong>Kairós</strong><br><span data-lang-inline="en">Co-founder. Sovereign AI governance for Europe</span><span data-lang-inline="es">Co-fundador. Gobernanza soberana de IA para Europa</span></div>
      </div>
      <div class="sidebar-item">
        <div class="sidebar-label">2025 —</div>
        <div class="sidebar-value"><a href="https://emaiten.eus" style="color:var(--gold);text-decoration:none;font-weight:500">emaiten.eus</a><br><span data-lang-inline="en" style="font-size:13px;color:#555">From sentimental debate to data debate. No advocacy, no imposition: measurements, hypotheses, empirical evidence. <em>(in Basque)</em></span><span data-lang-inline="es" style="font-size:13px;color:#555">Del debate sentimental al debate de datos. Sin defensa, sin imposición: mediciones, hipótesis, evidencia empírica. <em>(en euskera)</em></span></div>
      </div>
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