ankn
a5f8fb49ab
Bahn: aisupport, Analyse-O2C-C2S, awesome-bahn-mcp-servers, beam-mcp,
Confluence_Bot, db-planet-mcp-server, O2C-Harness, project-audit,
Projekt-KIQ-HP, teamlandkarte-mcp
Dhive: Jury-Voting
Privat: CV, NoteGraph (NOTE: NoteGraph needs complete redo after consolidation)
Shared: AI-Orchestrator, OrgMyLife, power_skills_and_more
Shared/references: symphony (read-only)
Bahn repos remain available as independent remotes - this monorepo
pulls them in via subtree, the originals are untouched.
544 lines
55 KiB
HTML
544 lines
55 KiB
HTML
<!DOCTYPE html>
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<html lang="de">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Personalprofil — Dr. André Knie</title>
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<style>
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@import url('https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap');
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:root {
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--bg: #ffffff;
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--bg-dark: #0a0a0a;
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--neon: #39ff14;
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--neon-dim: #2bcc0f;
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--card: #f6f6f6;
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--card-border: #e8e8e8;
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--text: #1a1a1a;
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--text-light: #666666;
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--text-on-dark: #e8e8e8;
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--white: #ffffff;
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}
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* { margin: 0; padding: 0; box-sizing: border-box; }
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body {
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font-family: 'Inter', -apple-system, sans-serif;
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font-size: 9pt;
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line-height: 1.4;
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color: var(--text);
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background: var(--bg);
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}
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@page {
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size: A4 landscape;
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margin: 7mm 9mm;
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}
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.page {
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width: 297mm;
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height: 210mm;
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padding: 7mm 9mm;
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position: relative;
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background: var(--bg);
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overflow: hidden;
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display: flex;
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flex-direction: column;
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}
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@media print {
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body { -webkit-print-color-adjust: exact; print-color-adjust: exact; }
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.page { padding: 0; width: 100%; height: auto; }
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}
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/* === HEADER === */
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.header {
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display: flex;
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align-items: center;
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gap: 14px;
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padding-bottom: 8px;
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border-bottom: 2px solid var(--bg-dark);
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margin-bottom: 8px;
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flex-shrink: 0;
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}
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.avatar-img {
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width: 64px;
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height: 64px;
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border-radius: 50%;
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object-fit: cover;
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object-position: center top;
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border: 2px solid var(--bg-dark);
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}
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.header-center {
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flex: 1;
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}
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.header-center h1 {
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font-size: 18pt;
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font-weight: 700;
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color: var(--bg-dark);
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line-height: 1.1;
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}
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.header-center .job-title {
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font-size: 10pt;
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color: var(--neon);
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font-weight: 700;
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margin-top: 2px;
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}
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.header-meta {
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display: flex;
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gap: 16px;
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font-size: 8pt;
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color: var(--text-light);
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margin-top: 3px;
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}
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.header-meta span::before {
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content: '›';
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color: var(--neon-dim);
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margin-right: 3px;
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font-weight: 700;
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}
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.logo-dhive {
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height: 64px;
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}
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/* === KURZPROFIL === */
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.kurzprofil {
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background: var(--card);
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border-left: 3px solid var(--neon);
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padding: 8px 12px;
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border-radius: 0 4px 4px 0;
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font-size: 9pt;
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line-height: 1.5;
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margin-bottom: 9px;
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flex-shrink: 0;
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}
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.kurzprofil strong {
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color: var(--bg-dark);
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font-weight: 600;
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}
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/* === MAIN LAYOUT === */
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.main-grid {
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display: grid;
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grid-template-columns: 1fr 1.4fr 1.1fr;
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gap: 14px;
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flex: 1;
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min-height: 0;
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}
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/* === SECTIONS === */
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.section {
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margin-bottom: 8px;
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}
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.section-title {
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font-size: 7.5pt;
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font-weight: 700;
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text-transform: uppercase;
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letter-spacing: 0.7px;
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color: var(--neon-dim);
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margin-bottom: 5px;
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padding-bottom: 2px;
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border-bottom: 1px solid var(--card-border);
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}
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/* === SKILL TAGS === */
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.skill-grid {
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display: flex;
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flex-wrap: wrap;
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gap: 4px;
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}
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.skill-tag {
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background: var(--card);
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color: var(--text);
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padding: 2.5px 7px;
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border-radius: 8px;
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font-size: 7pt;
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font-weight: 500;
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border: 1px solid var(--card-border);
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}
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.skill-tag.highlight {
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background: var(--white);
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color: var(--bg-dark);
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border-color: var(--neon);
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font-weight: 600;
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}
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/* === EXPERIENCE ITEMS === */
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.exp-item {
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margin-bottom: 5px;
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padding-left: 8px;
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border-left: 2px solid var(--card-border);
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}
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.exp-item.accent {
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border-left-color: var(--neon);
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}
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.exp-title {
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font-weight: 600;
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font-size: 8pt;
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color: var(--bg-dark);
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}
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.exp-org {
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font-size: 7pt;
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color: var(--text-light);
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}
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/* === REFERENZ-BOX === */
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.ref-box {
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background: var(--card);
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border: 1px solid var(--card-border);
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border-radius: 4px;
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padding: 6px 9px;
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margin-bottom: 6px;
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}
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.ref-box.featured {
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border-left: 3px solid var(--neon);
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background: var(--white);
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}
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.ref-box h4 {
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font-size: 8pt;
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font-weight: 600;
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color: var(--bg-dark);
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margin-bottom: 1px;
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}
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.ref-box .ref-meta {
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font-size: 6.5pt;
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color: var(--neon-dim);
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font-weight: 500;
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margin-bottom: 2px;
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}
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.ref-box p {
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font-size: 7pt;
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line-height: 1.4;
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color: var(--text);
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}
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/* === WERDEGANG 2-SPALTEN === */
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.werdegang-grid {
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display: grid;
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grid-template-columns: 1fr 1fr;
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gap: 4px 14px;
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}
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/* === COMPANY BOX === */
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.company-box {
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background: var(--card);
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border: 1px solid var(--card-border);
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border-radius: 4px;
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padding: 7px 9px;
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border-top: 2px solid var(--neon);
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}
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.company-box h3 {
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font-size: 8pt;
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color: var(--bg-dark);
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font-weight: 700;
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margin-bottom: 4px;
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}
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.company-grid {
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display: grid;
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grid-template-columns: auto 1fr;
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gap: 2px 8px;
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font-size: 7pt;
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}
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.company-grid dt {
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color: var(--text-light);
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}
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.company-grid dd {
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font-weight: 500;
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color: var(--text);
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}
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/* === STATS BAR === */
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.stats-bar {
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display: flex;
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justify-content: space-around;
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align-items: center;
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background: var(--bg-dark);
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padding: 7px 14px;
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border-radius: 4px;
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flex-shrink: 0;
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margin-top: 9px;
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}
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.stat-item {
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text-align: center;
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}
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.stat-value {
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font-size: 12pt;
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font-weight: 700;
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color: var(--neon);
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line-height: 1.1;
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}
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.stat-label {
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font-size: 6.5pt;
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color: var(--text-on-dark);
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text-transform: uppercase;
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letter-spacing: 0.3px;
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}
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/* === CERTIFICATIONS === */
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.cert-list {
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list-style: none;
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}
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.cert-list li {
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font-size: 7pt;
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padding: 2px 0;
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padding-left: 10px;
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position: relative;
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}
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.cert-list li::before {
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content: '✓';
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position: absolute;
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left: 0;
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color: var(--neon-dim);
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font-weight: 700;
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font-size: 7.5pt;
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}
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</style>
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</head>
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<body>
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<div class="page">
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<!-- HEADER -->
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<div class="header">
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<img src="../../assets/230823_Einfachbahn_Andre-brillenlos-hochformat.png" alt="Dr. André Knie" class="avatar-img">
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<div class="header-center">
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<h1>Dr. André Knie</h1>
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<div class="job-title">Mensch-Maschine-Moderator</div>
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<div class="header-meta">
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<span>Kassel</span>
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<span>d-hive.de</span>
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<span>linkedin.com/in/knie</span>
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<span>knie@d-hive.de</span>
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</div>
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</div>
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<img 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" alt="Data Hive Cassel" class="logo-dhive">
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</div>
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<!-- KURZPROFIL -->
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<div class="kurzprofil">
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Promovierter Physiker, Gründer und Geschäftsführer der <strong>Data Hive Cassel GmbH</strong>. Verbindet tiefes technisches KI-Know-how (Python, Full-Stack, API-Entwicklung) mit langjähriger Erfahrung in der Moderation und Begleitung von Veränderungsprozessen in <strong>Verwaltung, Hochschule und Großkonzern</strong>. Schwerpunkt: Praxisnahe Einführung von KI-Lösungen — von der Use-Case-Identifikation über Prototyping bis zum produktiven Betrieb.
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</div>
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<!-- 3-SPALTEN CONTENT -->
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<div class="main-grid">
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|
||
<!-- SPALTE 1: Kompetenzen & Zertifizierungen -->
|
||
<div>
|
||
<div class="section">
|
||
<div class="section-title">Fachliche Kompetenzen</div>
|
||
<div class="skill-grid">
|
||
<span class="skill-tag highlight">KI-Entwicklung</span>
|
||
<span class="skill-tag highlight">Python</span>
|
||
<span class="skill-tag highlight">GenAI / LLM</span>
|
||
<span class="skill-tag highlight">RAG</span>
|
||
<span class="skill-tag">Full-Stack</span>
|
||
<span class="skill-tag">API-Design</span>
|
||
<span class="skill-tag">Open-Source</span>
|
||
<span class="skill-tag">KI-Infrastruktur</span>
|
||
<span class="skill-tag">OpenWebUI</span>
|
||
<span class="skill-tag">DSGVO & KI</span>
|
||
<span class="skill-tag">Prompt Engineering</span>
|
||
<span class="skill-tag">Bias-Reduktion</span>
|
||
<span class="skill-tag">Souveräne Datenhaltung</span>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="section">
|
||
<div class="section-title">Methodisch</div>
|
||
<div class="skill-grid">
|
||
<span class="skill-tag highlight">Workshop-Moderation</span>
|
||
<span class="skill-tag highlight">Hackathon-Formate</span>
|
||
<span class="skill-tag">Anforderungsworkshops</span>
|
||
<span class="skill-tag">Wissensvermittlung KI</span>
|
||
<span class="skill-tag">Agile (Scrum, OKR)</span>
|
||
<span class="skill-tag">Change Management</span>
|
||
<span class="skill-tag">Sprint-Formate</span>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="section">
|
||
<div class="section-title">Zertifizierungen</div>
|
||
<ul class="cert-list">
|
||
<li>Agile Coach & OKR Business Coach — Future-Fit Work Institut (2023)</li>
|
||
<li>SAFe Agile Leader & PO/PM — Scaled Agile (2022)</li>
|
||
<li>Zahlreiche KI-Zertifikate — KI-Campus.org (2025–2026)</li>
|
||
<li>Management von Forschungsprojekten — Uni Kassel (2015)</li>
|
||
</ul>
|
||
</div>
|
||
</div>
|
||
|
||
<!-- SPALTE 2: Projekterfahrung + Publikationen -->
|
||
<div>
|
||
<div class="section">
|
||
<div class="section-title">Relevante Projekterfahrung</div>
|
||
|
||
<div class="ref-box featured">
|
||
<h4>KI FrAItage — Universität Kassel</h4>
|
||
<div class="ref-meta">seit 2024 · Konzeption, Moderation, techn. Umsetzung</div>
|
||
<p>KI-Experimentierräume für Verwaltungsmitarbeitende: Use-Case-Workshops, Hands-on-Sessions, Prototyping. Ziel: KI-Kompetenzaufbau und Beschleunigung der Verwaltung.</p>
|
||
</div>
|
||
|
||
<div class="ref-box featured">
|
||
<h4>Projekt KIQ — Souveränes KI-Betriebssystem</h4>
|
||
<div class="ref-meta">seit 2025 · Entwicklung & Beratung · Data Hive Cassel</div>
|
||
<p>Souveränes KI-Betriebssystem für den Mittelstand. 100% DSGVO- und AI-Act-konform. 6 Live-Use-Cases bei Pilotkunden. Gefördert durch die Wirtschaftsförderung der Stadt Kassel.</p>
|
||
</div>
|
||
|
||
<div class="ref-box">
|
||
<h4>Dozent — Hochschule Fresenius</h4>
|
||
<div class="ref-meta">2025 · Agilität & ergebnisorientierte Unternehmensführung</div>
|
||
<p>MBA-Lehre: Agilität, Change, Innovation und Führung. Praxisnahe Wissensvermittlung für Führungskräfte.</p>
|
||
</div>
|
||
|
||
<div class="ref-box">
|
||
<h4>Digitalisierung — DB InfraGO AG</h4>
|
||
<div class="ref-meta">seit 2025 · Experte für Digitalisierung</div>
|
||
<p>Steuerung digitaler Projekte im Großkonzern. Komplexe Stakeholder-Landschaften, regulatorische Anforderungen.</p>
|
||
</div>
|
||
|
||
<div class="ref-box">
|
||
<h4>Leiter #Einfachbahn — DB Netz AG</h4>
|
||
<div class="ref-meta">2020–2025 · Teamleitung (ab 2022 im JobSharing)</div>
|
||
<p>Aufbau interdisziplinäres Digitalisierungsteam. Agile Methoden, Sprint-Strukturen, Workshop-Formate.</p>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
|
||
<!-- SPALTE 3: Werdegang + Publikationen + Company Box -->
|
||
<div>
|
||
<div class="section">
|
||
<div class="section-title">Beruflicher Werdegang & Ausbildung</div>
|
||
<div class="werdegang-grid">
|
||
<div>
|
||
<div class="exp-item accent">
|
||
<div class="exp-title">Gründer & GF</div>
|
||
<div class="exp-org">Data Hive Cassel · seit 2021</div>
|
||
</div>
|
||
<div class="exp-item">
|
||
<div class="exp-title">Experte Digitalisierung</div>
|
||
<div class="exp-org">DB InfraGO · seit 2025</div>
|
||
</div>
|
||
<div class="exp-item">
|
||
<div class="exp-title">Leiter #Einfachbahn</div>
|
||
<div class="exp-org">DB Netz · 2020–2025</div>
|
||
</div>
|
||
<div class="exp-item">
|
||
<div class="exp-title">Dozent Agilität</div>
|
||
<div class="exp-org">HS Fresenius · 2025</div>
|
||
</div>
|
||
</div>
|
||
<div>
|
||
<div class="exp-item">
|
||
<div class="exp-title">Teilgruppenleiter</div>
|
||
<div class="exp-org">Uni Kassel · 2013–2020</div>
|
||
</div>
|
||
<div class="exp-item">
|
||
<div class="exp-title">Doktorand / Wiss. MA</div>
|
||
<div class="exp-org">Uni Kassel · 2009–2012</div>
|
||
</div>
|
||
<div class="exp-item accent">
|
||
<div class="exp-title">Dr. rer. nat. (Physik)</div>
|
||
<div class="exp-org">Uni Kassel · 2012</div>
|
||
</div>
|
||
<div class="exp-item">
|
||
<div class="exp-title">Diplom Experimentalphysik</div>
|
||
<div class="exp-org">Uni Kassel · 2009</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<!-- Publikationen -->
|
||
<div class="section">
|
||
<div class="section-title">Publikationen</div>
|
||
<div class="exp-item accent">
|
||
<div class="exp-title">60+ wissenschaftliche Veröffentlichungen · 2.000+ Zitationen</div>
|
||
<div class="exp-org"><a href="https://scholar.google.com/citations?hl=en&user=bMfs8r0AAAAJ" style="color: var(--neon-dim); text-decoration: none;"></a>Google Scholar</a> · seit 2009</div>
|
||
</div>
|
||
<div class="exp-item">
|
||
<div class="exp-title">Kniepunkt — wöchentliche KI-Kolumne (38 Ausgaben)</div>
|
||
<div class="exp-org">Nachrichten und Absurditäten rund um KI</div>
|
||
</div>
|
||
<div class="exp-item">
|
||
<div class="exp-title">Almost Intelligent — 14-tägiger KI-Podcast</div>
|
||
<div class="exp-org">Brücke zwischen künstlicher und natürlicher Intelligenz</div>
|
||
</div>
|
||
</div>
|
||
|
||
<!-- Company Box -->
|
||
<div class="company-box">
|
||
<h3>Data Hive Cassel GmbH</h3>
|
||
<dl class="company-grid">
|
||
<dt>Gründung</dt><dd>2021</dd>
|
||
<dt>Team</dt><dd>6 Personen</dd>
|
||
<dt>Projekte</dt><dd>50+ abgeschlossen</dd>
|
||
<dt>Kunden</dt><dd>15+ (u.a. Uni Kassel, Sika, Hexagon Purus, Arvos, Esterer, MTO)</dd>
|
||
<dt>Leistungen</dt><dd>KI-Beratung & Entwicklung, Workshops, Prozessautomatisierung, souveräne KI-Infrastruktur</dd>
|
||
<dt>Mitgliedschaften</dt><dd>KI-Bundesverband, Science Park Kassel</dd>
|
||
</dl>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
|
||
<!-- STATS BAR -->
|
||
<div class="stats-bar">
|
||
<div class="stat-item">
|
||
<div class="stat-value">50+</div>
|
||
<div class="stat-label">Projekte</div>
|
||
</div>
|
||
<div class="stat-item">
|
||
<div class="stat-value">15+</div>
|
||
<div class="stat-label">Kunden</div>
|
||
</div>
|
||
<div class="stat-item">
|
||
<div class="stat-value">13+</div>
|
||
<div class="stat-label">Jahre KI-Erfahrung</div>
|
||
</div>
|
||
<div class="stat-item">
|
||
<div class="stat-value">6</div>
|
||
<div class="stat-label">Live Use Cases</div>
|
||
</div>
|
||
<div class="stat-item">
|
||
<div class="stat-value">2.000+</div>
|
||
<div class="stat-label">Zitationen</div>
|
||
</div>
|
||
<div class="stat-item">
|
||
<div class="stat-value">100%</div>
|
||
<div class="stat-label">DSGVO & AI-Act</div>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</body>
|
||
</html>
|