{
  "$schema": "https://jsonresume.org/schema",
  "basics": {
    "name": "Tarık Deveci",
    "label": "AI Product Engineer",
    "email": "tariikdevecii@gmail.com",
    "summary": "Software Engineering graduate and AI Product Engineer based in İzmir, Turkey, open to İstanbul and remote. Builds intelligent systems from idea to production: LLM pipelines, decision engines, full-stack products, mobile apps, and sustainability/safety tech.",
    "location": { "city": "İzmir", "countryCode": "TR" },
    "profiles": [
      { "network": "GitHub", "username": "tarikdeveci", "url": "https://github.com/tarikdeveci" },
      { "network": "LinkedIn", "username": "tarik-deveci", "url": "https://www.linkedin.com/in/tarik-deveci" }
    ]
  },
  "work": [
    {
      "name": "Hepsijet",
      "position": "Software Engineering Intern",
      "startDate": "2025",
      "highlights": ["Backend microservices with Java Spring Boot, Docker, Jenkins, Datadog", "~25% API response time improvement"]
    },
    {
      "name": "MuniGo",
      "position": "Co-Founder & Lead Software Developer",
      "startDate": "2024", "endDate": "2025",
      "highlights": [
        "AI municipal call-center & CRM: Django, PostgreSQL, GPT API, AWS Polly",
        "Reduced TTS cost by ~80% via caching + batching with voice reuse",
        "Cut spoken-response latency from ~7s to ~1.5s",
        "Live across 2 municipalities, 20+ departments, 300+ complaint subcategories"
      ]
    },
    {
      "name": "AtıkNakit",
      "position": "Junior Full-Stack Developer",
      "startDate": "2024",
      "highlights": ["Web and mobile delivery with Node.js, PostgreSQL, Flutter"]
    },
    {
      "name": "Detay İnovasyon",
      "position": "Software Developer",
      "startDate": "2022", "endDate": "2023",
      "highlights": ["Carbon-footprint tracking platform with React and Node.js", "1,000+ emission records processed monthly"]
    }
  ],
  "projects": [
    { "name": "MuniGo", "description": "AI municipal call-center & CRM with complaint routing, case tracking and KPI dashboards.", "keywords": ["AI", "CRM", "Django", "LLM", "TTS"] },
    { "name": "LifeOS", "description": "AI productivity OS: tasks, time blocking, nutrition, workouts. Web + mobile.", "url": "https://lifeos.tr/", "keywords": ["Next.js", "React Native", "Supabase"] },
    { "name": "Octostra", "description": "Explainable decision-intelligence engine: rule engine + transparent scoring + aggregation, top 3–5 tasks with reasoning.", "url": "https://github.com/tarikdeveci/octostra", "keywords": ["FastAPI", "PostgreSQL", "decision systems"] },
    { "name": "PreventA", "description": "Process-safety platform built on HAZOP/LOPA methodology.", "keywords": ["FastAPI", "PostgreSQL", "React", "safety"] },
    { "name": "DebateAI", "description": "AI-powered debate and structured-argumentation product.", "keywords": ["LLM", "education"] },
    { "name": "DetectIQ", "description": "SAM3 + LoRA fine-tune for bridge/structural damage segmentation (DACL10K), shipped behind a FastAPI + React inspection platform. Mean validation IoU 0.56 across 19 classes.", "url": "https://detectiq.com.tr", "keywords": ["SAM3", "LoRA", "PEFT", "segmentation", "FastAPI", "React", "computer vision"] }
  ],
  "research": [
    { "title": "DetectIQ — fine-tuning SAM3 with LoRA for bridge/structural damage segmentation (DACL10K)", "type": "thesis", "url": "https://detectiq.com.tr", "keywords": ["SAM3", "LoRA", "PEFT", "semantic segmentation", "computer vision", "IoU 0.56"] }
  ],
  "education": [
    {
      "institution": "Bahçeşehir University",
      "studyType": "BSc",
      "area": "Software Engineering",
      "endDate": "2026",
      "score": "3.2/4.0",
      "courses": ["Capstone: DetectIQ — SAM3 + LoRA structural damage segmentation (DACL10K)"]
    }
  ],
  "skills": [
    { "name": "Product & Web", "keywords": ["Next.js", "React", "TypeScript", "React Native", "Expo", "Tailwind", "Zustand"] },
    { "name": "Backend & Data", "keywords": ["FastAPI", "Django", "Java Spring Boot", "Node.js", "PostgreSQL", "Supabase"] },
    { "name": "AI & ML", "keywords": ["LLM pipelines", "LoRA / PEFT fine-tuning", "SAM3 / segmentation", "Hybrid RAG", "GPT API", "decision engines"] },
    { "name": "Infra & Ops", "keywords": ["Docker", "Jenkins", "Datadog", "AWS", "Vercel"] }
  ]
}