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  "basics": {
    "name": "HASAN SHAHIN",
    "label": "​Electronics and Communications Engineer",
    "summary": "Motivated Electronics and Communications Engineer with hands‑on experience in technical projects and practical field operations. Proven capability in bridging hardware infrastructure with data-driven technologies, demonstrated by developing high-accuracy (97.07\\%) predictive machine learning models. Skilled in problem‑solving, system integration, and adapting quickly to new environments. A fast learner dedicated to mastering new technologies while contributing to organizational growth and operational efficiency.",
    "location": "Syria,Damascus "
  },
  "work": [
    {
      "company": "Local Restaurants & Food Outlets (Salhab)",
      "position": "Delivery & Logistics Coordinator",
      "location": "Syria",
      "startDate": "2025-05",
      "endDate": "2024-07",
      "highlights": [
        "Managed daily home delivery logistics, ensuring safe, accurate, and time-efficient distribution of orders.",
        "​Handled cash transactions, invoices, and maintained high reliability and trustworthiness in customer interactions.",
        "​Optimized delivery routes to meet strict deadlines and improve overall service efficiency."
      ]
    },
    {
      "company": "Al-Mughara Restaurant",
      "position": "Customer Service & Food Service Specialist",
      "location": "Syria,Hama",
      "startDate": "2023-06",
      "endDate": "2017-07",
      "highlights": [
        "Delivered high-quality customer service in a fast-paced environment, ensuring guest satisfaction and handling inquiries professionally.",
        "​Managed table service, order accuracy, and coordinated closely with the kitchen team to optimize workflow and reduce waiting times.",
        "​Demonstrated strong multitasking and problem-solving abilities while working under high-pressure shifts and peak hours."
      ]
    },
    {
      "company": "Lord",
      "position": "Wireless Network Technician / Field Operations Technician",
      "location": "Homs,Syria",
      "startDate": "2025-06",
      "endDate": "2025-01",
      "highlights": [
        "​Successfully installed, configured, and maintained outdoor wireless internet systems (WISP) and point-to-point links.",
        "​Configured and programmed advanced Ubiquiti and Mikrotik devices, including LiteBeam M5, PowerBeam, and AC series, ensuring stable high-speed connectivity.",
        "​Set up and optimized various types of indoor routers, configuring LAN/WAN networks, security protocols, and troubleshooting connectivity issues.",
        "​Conducted field operations and site surveys to determine optimal signal strength and hardware placement under different environmental conditions."
      ]
    }
  ],
  "education": [
    {
      "institution": "​Al-Baath University",
      "degree": "Bachelor of Science (B.Sc.)",
      "field": "Electronics and Communications Engineering",
      "startDate": "2025",
      "endDate": "2021",
      "score": "71,53",
      "highlights": [
        "Graduation Thesis: IoT & AI-Based Seizure Prediction and Alerting System (Grade: 92%)."
      ]
    }
  ],
  "skills": [
    "(Technical Skills & Tools): Microcontrollers (ESP8266) ،Wireless Communication،Network Configuration ،Hardware Prototyping.",
    "(Soft Skills): Problem-Solving ،Teamwork & Collaboration ،Customer Service ،Time Management ،Adaptability ،Field Operations."
  ],
  "languages": [
    {
      "language": "Arabic",
      "fluency": "Native"
    },
    {
      "language": "English",
      "fluency": "Intermediate"
    },
    {
      "language": "Spanish",
      "fluency": "Basic"
    }
  ],
  "projects": [
    {
      "name": "IoT & AI-Based Seizure Prediction and Alerting System",
      "description": "Developed an innovative end-to-end medical prediction system that bridges the gap between Artificial Intelligence, Hardware infrastructure, and Internet of Things (IoT) technologies to enhance patient care.",
      "highlights": [
        "Processed 11,500 clinical EEG data cases from 500 subjects sourced from the University of California.",
        "Trained multiple Machine Learning models, achieving a peak accuracy of 97.07% using Random Forest.",
        "Designed a hardware prototype using an ESP8266 microcontroller and an APDS-9008 heart rate sensor.",
        "Deployed remote cloud monitoring via ThingSpeak and implemented live caregiver alerts through a custom Telegram bot."
      ],
      "keywords": [
        "Machine Learning",
        "Random Forest",
        "IoT",
        "ESP8266",
        "Microcontrollers",
        "ThingSpeak",
        "Telegram API",
        "EEG Signal Processing",
        "Biometric Sensors."
      ],
      "startDate": "2025-08",
      "endDate": "2025-02"
    }
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      "EEG Signal Processing",
      "Biometric Sensors.",
      "Arabic",
      "English",
      "Spanish",
      "​Electronics and Communications Engineer"
    ],
    "yearsOfExperience": 3,
    "seniority": "mid",
    "highestEducation": "Bachelor's"
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