{
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  "meta": {
    "version": "v1.0.0",
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    "lastModified": "2026-05-15",
    "language": "en"
  },
  "basics": {
    "name": "Renata Baldissara-Kunnela",
    "label": "AI Developer — LLM & Agent Systems",
    "email": "renatbk.linkedin@gmail.com",
    "phone": "+358 40 182 9008",
    "url": "https://renata-resume.vercel.app/",
    "summary": "AI Developer and AI Quality Engineering specialist with 15+ years in enterprise systems (banking, insurance, integration-heavy environments). Builds production LLM and agent solutions embedded into business workflows using structured prompting, RAG grounding, fine-tuning, and tool orchestration. Designs reliability systems for modern AI: guardrails, fallback behavior, and automated evaluation (LLM-as-judge plus rule-based checks).",
    "location": {
      "city": "Viitasaari",
      "countryCode": "FI",
      "region": "Central Finland"
    },
    "profiles": [
      {
        "network": "LinkedIn",
        "username": "renata-kunnela-4002a726a",
        "url": "https://www.linkedin.com/in/renata-kunnela-4002a726a/"
      },
      {
        "network": "GitHub",
        "username": "RBKunnela",
        "url": "https://github.com/RBKunnela"
      }
    ]
  },
  "work": [
    {
      "name": "FriendlyAI",
      "position": "AI Developer & Quality Engineering",
      "startDate": "2025-02",
      "endDate": null,
      "summary": "Production LLM assistants and automation for customer support and lead generation with continuous-improvement evaluation loops.",
      "highlights": [
        "Built production AI assistants and automation flows for customer support and lead generation.",
        "Implemented tracking and quality metrics across LLM-driven flows to make assistant behavior measurable.",
        "Designed evaluation loops (LLM-as-judge plus rule-based checks) driving continuous improvement of prompts and responses.",
        "Integrated LLM behavior into existing business workflows with focus on reliability, fallback paths, and safe escalation."
      ]
    },
    {
      "name": "TietoEvry / Fennia",
      "position": "API Tester & Quality Engineering",
      "startDate": "2023-09",
      "endDate": "2025-02",
      "summary": "End-to-end API quality for RAML/MuleSoft integrations in a complex insurance environment.",
      "highlights": [
        "Owned end-to-end API quality for RAML/MuleSoft APIs across complex insurance integrations.",
        "Managed test cases and release evidence in TestRail and Jira; built exportable evidence packs for release-readiness reviews.",
        "Built Postman test automation suites covering contract, integration, and regression scenarios.",
        "Collaborated with developers and architects to resolve integration defects across multi-system insurance flows."
      ]
    },
    {
      "name": "Samlink Oyj",
      "position": "Senior Test Automation Engineer",
      "startDate": "2016-01",
      "endDate": "2023-03",
      "summary": "Scalable test automation and QA practices for banking-grade systems under strict reliability and audit requirements.",
      "highlights": [
        "Developed scalable test automation for banking-grade systems using Robot Framework and Python.",
        "Established QA practices for integration-heavy service chains under strict reliability and audit requirements.",
        "Designed regression and release-readiness pipelines for production deployments in regulated environments.",
        "Mentored testers and supported requirement clarification with developers and business analysts."
      ]
    }
  ],
  "education": [
    {
      "institution": "JAMK University of Applied Sciences",
      "url": "https://www.jamk.fi/",
      "area": "Computer Science / Business IT",
      "studyType": "BSc",
      "startDate": "2011",
      "endDate": "2016"
    },
    {
      "institution": "Åbo Akademi",
      "url": "https://www.abo.fi/",
      "area": "International Business and Law",
      "studyType": "MBA",
      "startDate": "2004",
      "endDate": "2006"
    },
    {
      "institution": "Faculdade Cândido Mendes, Brazil",
      "area": "Management",
      "studyType": "BBA",
      "startDate": "1985",
      "endDate": "1990"
    },
    {
      "institution": "JAMK University of Applied Sciences",
      "area": "Guest Lecturer",
      "studyType": "Teaching",
      "startDate": "2007",
      "endDate": "2016"
    }
  ],
  "certificates": [
    { "name": "ISTQB Foundation — Certified Tester", "date": "2014-01", "issuer": "ISTQB" },
    { "name": "ISTQB Foundation — Agile Tester", "date": "2015-04", "issuer": "ISTQB" },
    { "name": "Advanced Robot Framework", "date": "2015-11" },
    { "name": "Multimodal Prompting with Google Gemini", "date": "2024-05", "issuer": "Google" },
    { "name": "Prompt Engineering Basics — Azure OpenAI", "date": "2024-05", "issuer": "Microsoft" },
    { "name": "Speaker — Testaus ja AI", "date": "2024" }
  ],
  "skills": [
    {
      "name": "AI & LLM",
      "level": "Expert",
      "keywords": [
        "OpenAI", "Anthropic Claude", "Azure OpenAI", "Google Gemini",
        "LangChain", "LlamaIndex", "RAG", "Fine-tuning", "Guardrails",
        "LLM-as-judge", "Prompt Engineering", "MCP",
        "Multi-agent orchestration", "Structured prompting",
        "Hallucination reduction", "Prompt injection awareness"
      ]
    },
    {
      "name": "Engineering",
      "level": "Advanced",
      "keywords": [
        "Python", "FastAPI", "Pydantic", "PostgreSQL", "Redis",
        "REST APIs", "OAuth2", "Docker", "CI/CD", "Edge Functions"
      ]
    },
    {
      "name": "QA & Testing",
      "level": "Expert",
      "keywords": [
        "Robot Framework", "Postman", "TestRail", "Jira", "Confluence",
        "RAML", "MuleSoft", "ISTQB", "Test Automation", "API Testing",
        "Regression testing", "Release readiness", "Integration testing"
      ]
    },
    {
      "name": "Domains",
      "level": "Senior",
      "keywords": [
        "Banking systems", "Insurance systems", "Enterprise integration",
        "Audit & compliance environments"
      ]
    }
  ],
  "languages": [
    { "language": "Portuguese", "fluency": "Native speaker" },
    { "language": "English", "fluency": "Excellent" },
    { "language": "Finnish", "fluency": "Fluent (working language)" },
    { "language": "Spanish", "fluency": "Fluent" }
  ],
  "awards": [
    {
      "title": "4 AI products shipped to production",
      "summary": "FriendlyAI assistants, Lumanela.fi (100–500 conversations/month), Jurevo multi-agent orchestration, plus internal evaluation systems."
    },
    {
      "title": "3 open-source frameworks published",
      "summary": "ALMA-memory (PyPI + npm), AGtestari, and VERITAS-framework — all available on GitHub.",
      "awarder": "GitHub / PyPI / npm"
    },
    {
      "title": "Conference speaker — Testaus ja AI 2024",
      "date": "2024",
      "awarder": "Testaus ja AI",
      "summary": "Finland's testing and AI conference."
    },
    {
      "title": "15+ years across regulated enterprise environments",
      "summary": "Banking-grade systems at Samlink and insurance integrations at TietoEvry/Fennia under audit and compliance constraints."
    }
  ],
  "strengths": [
    {
      "title": "End-to-end AI ownership",
      "description": "From prompt design and RAG grounding through guardrails, evaluation, and production reliability — full LLM lifecycle, not just the prototype layer."
    },
    {
      "title": "Enterprise discipline applied to AI",
      "description": "15+ years in banking and insurance environments under audit and compliance constraints; reliability and traceability as baseline, not bonus."
    },
    {
      "title": "Cross-functional communication",
      "description": "Multilingual (Portuguese, Finnish, English, Spanish) and experienced bridging developers, architects, and business stakeholders across multi-system enterprise flows."
    }
  ],
  "projects": [
    {
      "name": "ALMA-memory",
      "description": "Persistent memory layer for AI agents. Alternative to Mem0 with scoped learning, anti-patterns, multi-agent sharing, and MCP integration.",
      "highlights": [
        "Published on PyPI and npm",
        "Scoped learning and anti-patterns",
        "Multi-agent sharing",
        "MCP integration"
      ],
      "keywords": ["Python", "SQLite", "MCP", "FastAPI", "npm"],
      "startDate": "2025",
      "url": "https://alma-memory.pages.dev/",
      "type": "Open Source",
      "roles": ["Creator", "Maintainer"],
      "entity": "Personal",
      "repository": "https://github.com/RBKunnela/ALMA-memory"
    },
    {
      "name": "AGtestari",
      "description": "AI-powered unified testing platform deploying autonomous QA agents into customer Azure environments. Consolidates frontend, backend, mobile, accessibility, and performance testing through a 12-phase enterprise workflow.",
      "keywords": ["FastAPI", "React", "Azure", "AI Agents", "Jira"],
      "startDate": "2025",
      "url": "https://agentictestari-landing.pages.dev/",
      "type": "Open Source / SaaS",
      "roles": ["Creator"],
      "entity": "Personal",
      "repository": "https://github.com/RBKunnela/AGtestari"
    },
    {
      "name": "VERITAS-framework",
      "description": "Evaluation framework for AI systems with LLM-as-judge capabilities, quality metrics, and regression testing support.",
      "keywords": ["Python", "LLM-as-judge", "Evaluation"],
      "type": "Open Source",
      "roles": ["Creator"],
      "entity": "Personal",
      "repository": "https://github.com/RBKunnela/veritas-framework"
    },
    {
      "name": "Jurevo",
      "description": "Multi-agent orchestration with controlled tools and a chat evaluation harness (LLM-as-judge plus rule checks). Modular backend and high-performance enterprise search.",
      "keywords": ["FastAPI", "PostgreSQL", "Redis", "Multi-agent"],
      "type": "Confidential",
      "roles": ["AI Architect"]
    },
    {
      "name": "Lumanela.fi",
      "description": "LLM with RAG and fine-tuning. Structured prompt logic and edge-function orchestration in production.",
      "keywords": ["LLM", "RAG", "Fine-tuning", "Edge Functions"],
      "type": "Production"
    }
  ]
}
