{
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  "basics": {
    "name": "Marco Di Felice",
    "label": "Data Scientist & Computer Engineer",
    "email": "marco.difelice@outlook.it",
    "url": "https://marcodifelice.com/cv",
    "summary": "Data Scientist & AI Engineer — I build data-driven products, ML systems and LLM-based applications, from model to production.",
    "location": {
      "city": "Bologna",
      "countryCode": "IT",
      "region": "Emilia-Romagna"
    },
    "profiles": [
      {
        "network": "GitHub",
        "username": "nambaf",
        "url": "https://github.com/nambaf"
      },
      {
        "network": "LinkedIn",
        "username": "marco-di-felice",
        "url": "https://www.linkedin.com/in/marco-di-felice/"
      }
    ]
  },
  "work": [
    {
      "name": "Leithà · Unipol Group",
      "position": "Data Scientist",
      "startDate": "2022-04",
      "summary": "Predictive modelling and analytics on insurance data. Feature engineering, evaluation and production deployment of ML models supporting business decisions.",
      "highlights": [
        "Unibox Smart Drive: smartphone-based insurance policy as an alternative to black-box devices — driving-style analysis with driving and distraction score computation.",
        "Internal Document Understanding: extracting information from tailor-made insurance policies by combining deep neural networks.",
        "Serverless AWS cloud system to manage and analyze policyholder journeys, integrated with statistical and ML pipelines."
      ]
    },
    {
      "name": "Università di Bologna",
      "position": "Artificial Intelligence Researcher",
      "startDate": "2020-10",
      "endDate": "2022-04",
      "summary": "Research on trajectory extraction from Telecom hotspot data covering wide geographic areas. Design of a decision support system together with the academic team and industrial partners."
    },
    {
      "name": "Università di Bologna",
      "position": "Artificial Intelligence Researcher",
      "startDate": "2019-06",
      "endDate": "2020-09",
      "summary": "Development of an AI-based diagnostic system for a cogeneration plant (electrical + thermal power), to detect anomalies and performance drops in the components.",
      "highlights": [
        "Collaboration with YANMAR's R&D team and industrial machine operators."
      ]
    },
    {
      "name": "Università di Bologna",
      "position": "Software Engineer",
      "startDate": "2017-04",
      "endDate": "2018-04",
      "summary": "Development of software modules connected to the control unit of an electric car via CAN-bus, as part of the TIME project — Integrated Technology for Electric Mobility."
    },
    {
      "name": "Heaple",
      "position": "CEO & Co-founder",
      "startDate": "2020",
      "summary": "Where therapy meets technological innovation. Healthcare/neuropsychology startup. Personalized interactive exercises and real-time progress monitoring, serving patients who need cognitive therapy and the clinical specialists who treat them.",
      "highlights": [
        "Website: https://www.heaple.it"
      ]
    }
  ],
  "education": [
    {
      "institution": "Alma Mater Studiorum · Università di Bologna",
      "area": "Computer Engineering",
      "studyType": "M.Sc. in Computer Engineering",
      "startDate": "2016-09",
      "endDate": "2019-03",
      "score": "110/110 cum laude"
    },
    {
      "institution": "Alma Mater Studiorum · Università di Bologna",
      "area": "Computer Engineering",
      "studyType": "B.Sc. in Computer Engineering",
      "startDate": "2012-09",
      "endDate": "2016-03",
      "score": "91/110"
    }
  ],
  "awards": [
    {
      "title": "Professional Engineering qualification (2021)"
    },
    {
      "title": "Lectured on Artificial Intelligence and Data Visualization"
    }
  ],
  "certificates": [
    {
      "name": "AWS Cloud Solutions Architect — Professional Certificate",
      "issuer": "Amazon Web Services",
      "date": "2025"
    },
    {
      "name": "Fundamentals of AI Agents Using RAG and LangChain",
      "issuer": "IBM",
      "date": "2026"
    },
    {
      "name": "Generative AI and LLMs: Architecture and Data Preparation",
      "issuer": "IBM",
      "date": "2026"
    },
    {
      "name": "Project Management — Fundamentals",
      "issuer": "Unipol Group S.p.A.",
      "date": "2025"
    },
    {
      "name": "Exploratory Data Analysis for Machine Learning",
      "issuer": "IBM",
      "date": "2025"
    },
    {
      "name": "Generative AI Language Modeling with Transformers",
      "issuer": "IBM",
      "date": "2025"
    },
    {
      "name": "Generative AI: Introduction and Applications",
      "issuer": "IBM",
      "date": "2024"
    },
    {
      "name": "Introduction to Back-End Development",
      "issuer": "Meta",
      "date": "2024"
    },
    {
      "name": "Architecting Solutions on AWS",
      "issuer": "Amazon Web Services",
      "date": "2024"
    },
    {
      "name": "Building Data Lakes on AWS",
      "issuer": "Amazon Web Services",
      "date": "2024"
    },
    {
      "name": "Natural Language Processing with Classification and Vector Spaces",
      "issuer": "DeepLearning.AI",
      "date": "2023"
    },
    {
      "name": "Entrepreneurship ICARO Bologna",
      "issuer": "Fondazione Golinelli",
      "date": "2018"
    },
    {
      "name": "Marketing Analytics & Business Intelligence",
      "issuer": "IFOA",
      "date": "2018"
    }
  ],
  "skills": [
    {
      "name": "Data Science",
      "keywords": [
        "Python",
        "Pandas",
        "scikit-learn",
        "applied statistics",
        "feature engineering"
      ]
    },
    {
      "name": "Machine Learning & AI",
      "keywords": [
        "PyTorch",
        "LLMs",
        "RAG",
        "anomaly detection",
        "time-series",
        "predictive maintenance"
      ]
    },
    {
      "name": "Cloud & Serverless",
      "keywords": [
        "AWS (CDK, SAM, Lambda, Cognito)",
        "serverless-first",
        "GCP",
        "Node.js",
        "IaC",
        "CI/CD"
      ]
    },
    {
      "name": "GenAI Infrastructure",
      "keywords": [
        "Amazon Bedrock",
        "Vertex AI",
        "embedding stores",
        "vector DBs",
        "LLM orchestration"
      ]
    },
    {
      "name": "Full-Stack Engineering",
      "keywords": [
        "TypeScript",
        "Next.js",
        "React Native",
        "API design",
        "distributed architecture"
      ]
    },
    {
      "name": "Also familiar with",
      "keywords": [
        "TensorFlow",
        "Keras",
        "Microsoft Power BI",
        "Agile/Scrum",
        "Design Thinking"
      ]
    }
  ],
  "languages": [
    {
      "language": "Italian",
      "fluency": "Native"
    },
    {
      "language": "English",
      "fluency": "C1 — Advanced"
    }
  ],
  "projects": [
    {
      "name": "Innovators' Ascent",
      "description": "Balatro-style roguelike deck-builder with a retro DOS-terminal look and gags about the startup/tech world: build a team, discover hidden combos, beat corporate bosses (from co-founder burnout to Antitrust) and climb the cloud leaderboard. Playable online.",
      "url": "https://marcodifelice.com/innovators",
      "keywords": [
        "React",
        "AWS",
        "Serverless",
        "Roguelike"
      ]
    },
    {
      "name": "kiteplanet-oss",
      "description": "Find the right kitesurf spot: wind, wave and tide from open-data sources on an interactive 3D globe. No login, no database, no mandatory API keys.",
      "url": "https://nambaf.github.io/kiteplanet-oss/",
      "keywords": [
        "Kitesurf",
        "Next.js",
        "three.js",
        "Open Data"
      ]
    },
    {
      "name": "gym-tracker-oss",
      "description": "Mobile-first gym workout tracker, self-hosted on AWS. Integrated AI coach. Italian/English UI.",
      "url": "https://nambaf.github.io/gym-tracker-oss/",
      "keywords": [
        "AI",
        "AWS",
        "Next.js",
        "Mobile"
      ]
    }
  ],
  "publications": [
    {
      "name": "Analysis of Near-Miss Accident Occurrence Conditions Using Connected Vehicle Electronic Control Units and Kinematic Thresholds",
      "publisher": "Submitted, under review",
      "releaseDate": "2025",
      "summary": "R. Ceriani, S. Palese, S. Mirou, M. Pazzini, M. Di Felice, E. Sologni, V. Vignali, C. Lantieri — Università di Bologna (DICAM) · Leithà — Unipol Group"
    }
  ],
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    "version": "v1.0.0",
    "lastModified": "2026-05-25",
    "language": "en"
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}