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    "name": "Manqoba Nathan Mtetwa",
    "label": "Graduate Software Developer & Designer",
    "email": "nathanmtetwa@gmail.com",
    "phone": "+27812122988",
    "summary": "Graduate Software Developer specializing in backend web, mobile and IoT applications. Completed notable projects, including an AI/ML-enhanced drowsiness detection system and web-hybrid Flutter-based applications. Seeking opportunities in web software development, Azure Cloud, and backend engineering.",
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        "username": "BusyNate",
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      "company": "Pulego Technologies",
      "position": "Student Software Development",
      "location": "Innovation Hub, Pretoria",
      "startDate": "2025-07",
      "endDate": "2026-01",
      "highlights": [
        "Developed mobile applications focused on Flutter UI",
        "Implemented RESTful APIs to improve software functionality",
        "Conducted bug fixes across multiple software projects"
      ]
    }
  ],
  "education": [
    {
      "institution": "Belgium Campus",
      "degree": "Diploma of Information Technology",
      "field": "Information Technology",
      "startDate": "2023-01",
      "endDate": "2025-12"
    }
  ],
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    "Xampp",
    "Python",
    "Machine Learning",
    "BluetoothLE",
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      "language": "English",
      "fluency": "Fluent"
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      "language": "isiZulu",
      "fluency": "Fluent"
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      "language": "Tswana",
      "fluency": "Advanced"
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      "language": "Afrikaans",
      "fluency": "Basic"
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      "name": "API-Hybrid To-Do Application",
      "description": "Developed a hybrid To-Do list application using Dart & Flutter, focusing on a user-friendly interface and integration with a REST API.  Persisted data using mySQL hosted on XAMPP for a database.",
      "url": "https://github.com/BusyNate/Basic-flutter-dashboard",
      "keywords": [
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        "Dart",
        "LoopBack.js",
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      "startDate": "2025-10",
      "endDate": "2025-12"
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    {
      "name": "IRIS Detection Service Firmware",
      "description": "Integrated motion-sensing and a variety sensors into a ESP32C3 board powered by a Li-ion battery pack, enabling real-time data acquisition and telemetry.",
      "url": "https://github.com/BusyNate/IRIS-ESP32-C3",
      "keywords": [
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        "IoT",
        "PlatformIO",
        "C++"
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      "startDate": "2025-08",
      "endDate": "2025-11"
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      "name": "IRIS Detection Service Software",
      "description": "Designed a system to monitor driver alertness using machine learning models(HMM) applied to raw sensory data, trained and deployed a real-time detection ML model and a user-friendly UI for displaying results.",
      "url": "https://github.com/BusyNate/IRIS_Detection_System",
      "keywords": [
        "Machine Learning",
        "Python",
        "Pandas",
        "ScikitLearn"
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      "startDate": "2025-08",
      "endDate": "2025-11"
    }
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  "certificates": [
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      "name": "Azure Administrator Associate (AZ-104)",
      "issuer": "Microsoft",
      "date": "2026-04"
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    {
      "name": "Azure Developer Associate (AZ-204)",
      "issuer": "Microsoft",
      "date": "2026-05"
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    "seniority": "entry",
    "highestEducation": "Diploma"
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