{
  "name": "Lucas Tejedor",
  "title": "AI Engineer & Architect",
  "location": "Rio de Janeiro, Brazil",
  "timezone": "GMT−3",
  "email": "lucasbabur@gmail.com",
  "phone": "+55 (21) 96903-9156",
  "linkedin": "https://www.linkedin.com/in/lucastejedor",
  "github": "https://github.com/lucasbabur",
  "website": "https://lucastejedor.com",
  "statement": "AI systems that survive contact with production.",
  "summary": "Production AI architecture, agentic systems, machine learning, and governance—built from strategy through deployment and adoption.",
  "roles": [
    "AI Engineer",
    "Forward Deployed AI Engineer",
    "AI Architect"
  ],
  "strengths": [
    "1 AI strategy",
    "Production systems",
    "Governed agents",
    "Company adoption"
  ],
  "availability": "Open to international remote opportunities",
  "impacts": [
    {
      "value": "2M+",
      "label": "Payments processed",
      "detail": "Zero operational failures"
    },
    {
      "value": "10K+",
      "label": "Moderation actions",
      "detail": "Supported by production ML"
    },
    {
      "value": "99.9%",
      "label": "Detection accuracy",
      "detail": "Measured for NSFW classification"
    },
    {
      "value": "50%",
      "label": "Faster resolution",
      "detail": "Delivered by agentic troubleshooting"
    }
  ],
  "experience": [
    {
      "period": "2025 — Present",
      "role": "AI Engineer & Architect",
      "company": "Lastlink",
      "location": "Remote · Rio de Janeiro",
      "summary": "Set the company AI strategy with the CTO and built the production ecosystem required to execute it.",
      "bullets": [
        "Architected a company-wide AI Gateway for governed MCP tool orchestration.",
        "Deployed production models for payment risk and trust & safety.",
        "Built agentic operational tooling and deployed AI infrastructure on Kubernetes."
      ]
    },
    {
      "period": "2023 — 2024",
      "role": "Software Engineer",
      "company": "EloGroup",
      "location": "Remote · Rio de Janeiro",
      "summary": "Promoted from Junior to Mid-level in six months—the fastest promotion in that cycle.",
      "bullets": [
        "Built data pipelines processing more than 50,000 records daily.",
        "Led modern React adoption, improving team velocity by 25%.",
        "Contributed to more than USD 1M in client project deliverables."
      ]
    },
    {
      "period": "2022 — 2023",
      "role": "Software Engineering Intern",
      "company": "Ventura Produções Artísticas",
      "location": "São Paulo",
      "summary": "Built operational software for a fast-moving artistic production environment.",
      "bullets": [
        "Developed project dashboards supporting more than 30 events.",
        "Automated reporting work, saving more than 10 hours every week.",
        "Maintained internal systems used by a team of more than 40 people."
      ]
    },
    {
      "period": "2019 — 2023",
      "role": "Lead AI Research Fellow",
      "company": "CEFET/RJ",
      "location": "Hybrid · Rio de Janeiro",
      "summary": "Led applied AI research and full-stack delivery across four concurrent projects.",
      "bullets": [
        "Built a computer-vision pipeline processing 10,000+ images at 94% precision.",
        "Led a cross-functional team of eight and published peer-reviewed research.",
        "Architected a logistics platform connecting 15+ NGOs and 200+ users."
      ]
    },
    {
      "period": "2019 — 2020",
      "role": "Founder & CEO",
      "company": "Pop Match",
      "location": "Rio de Janeiro",
      "summary": "Built and grew an AI recommendation product from concept to exit.",
      "bullets": [
        "Reached more than 1,200 organic users with zero paid acquisition.",
        "Selected for a CEFET/RJ accelerator with an 8% acceptance rate.",
        "Exited by selling the recommendation model."
      ]
    }
  ],
  "capabilities": [
    {
      "title": "AI systems",
      "items": [
        "Production machine learning",
        "Agentic systems",
        "Model evaluation",
        "Computer vision"
      ]
    },
    {
      "title": "Architecture",
      "items": [
        "AI gateways",
        "MCP orchestration",
        "Governance & observability",
        "APIs & data pipelines"
      ]
    },
    {
      "title": "Engineering",
      "items": [
        "Python & SQL",
        "JavaScript & React",
        "Docker & Kubernetes",
        "Production rollout"
      ]
    },
    {
      "title": "Delivery",
      "items": [
        "Technical strategy",
        "Stakeholder alignment",
        "Product tradeoffs",
        "Client-facing execution"
      ]
    }
  ],
  "recognition": [
    "Forbes Under 30",
    "Top 10 Global Student Prize finalist",
    "Top 3% of the CEFET/RJ class",
    "Research Group President and peer-reviewed AI researcher"
  ],
  "projects": [
    {
      "id": "ai-gateway",
      "title": "Lastlink AI Gateway",
      "type": "AI Infrastructure",
      "summary": "A governed internal platform for MCP-based tool orchestration, built from zero and deployed on Kubernetes.",
      "outcome": "Now used day to day by engineering and operations teams.",
      "url": "https://lucastejedor.com/projects/ai-gateway"
    },
    {
      "id": "risk-decisioning",
      "title": "Withdrawal Risk Decisioning",
      "type": "Production Machine Learning",
      "summary": "A machine-learning system for withdrawal approval and fraud detection in a high-consequence payment workflow.",
      "outcome": "Processed more than 2M in payments with zero operational failures.",
      "url": "https://lucastejedor.com/projects/risk-decisioning"
    },
    {
      "id": "moderation-intelligence",
      "title": "Moderation Intelligence",
      "type": "Trust & Safety ML",
      "summary": "An NSFW detection model embedded into platform enforcement workflows for reliable, high-volume moderation.",
      "outcome": "Supported more than 10,000 user bans with 99.9% accuracy.",
      "url": "https://lucastejedor.com/projects/moderation-intelligence"
    },
    {
      "id": "agentic-troubleshooting",
      "title": "Agentic Troubleshooting System",
      "type": "Agentic Operations",
      "summary": "An agentic diagnostic system that identifies platform failures and turns operational signals into actionable resolution paths.",
      "outcome": "Improved issue-resolution speed by 50%.",
      "url": "https://lucastejedor.com/projects/agentic-troubleshooting"
    },
    {
      "id": "computer-vision-research",
      "title": "Oil & Gas Leak Computer Vision",
      "type": "Applied AI Research",
      "summary": "A computer-vision pipeline for oil and gas leak detection built during a four-year AI research fellowship.",
      "outcome": "Processed more than 10,000 images with 94% precision.",
      "url": "https://lucastejedor.com/projects/computer-vision-research"
    },
    {
      "id": "integra-platform",
      "title": "INTEGRA Logistics Platform",
      "type": "Social Impact Platform",
      "summary": "A logistics platform connecting NGOs, institutional resources, and users across three municipalities.",
      "outcome": "Connected more than 15 NGOs and served over 200 users.",
      "url": "https://lucastejedor.com/projects/integra-platform"
    }
  ]
}