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    "name": "Zohaib  Khan",
    "label": "AI Engineer",
    "summary": "Highly skilled professional with extensive expertise in Python, Flask, Django, and API integration, specializing in artificial intelligence and deep learning algorithms. Proficient in AI application development and system design, with a proven track record in AI model validation and the implementation of automated machine learning tools. Adept at leveraging TensorFlow and scikit-learn to develop innovative solutions that push the boundaries of AI technology. Committed to advancing the field of artificial intelligence through the application of cutting-edge methodologies and practices.",
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      "startDate": "2026-01",
      "endDate": "2026-05",
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        "Analyzed data sets to identify patterns for predictive modelling",
        "Optimized algorithms through rigorous testing procedures, achieving better performance results.",
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        "Improved workflow efficiency by streamlining redundant tasks using automation tools."
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  "education": [
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      "institution": "Comsats University Islamabad",
      "degree": "BSc Computer Science",
      "field": "Computer Science",
      "startDate": "2023",
      "endDate": "2027",
      "score": "First Class Honours"
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      "fluency": "Fluent"
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      "name": "Distributed Log Analyzer  —  Python · HPC · Parallel Processing",
      "description": "▸  Designed a distributed log analysis framework capable of processing large-scale datasets across multiple nodes, built for a High-Performance Computing course.\n▸  Surfaced system bottlenecks through pattern recognition across distributed logs, producing structured performance reports for engineers.",
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      "name": "AI Writer – Blogging Platform Content Generator",
      "description": "▸  Extended a Flask blogging platform with a Gemini-powered content-generation feature, enabling one-click article drafting with user-defined tone, length, and topic parameters.",
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        "Python",
        "FastApi",
        "react"
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      "name": "Skin Disease Diagnosis API",
      "description": "▸  Created a Flask API for skin disease diagnosis from uploaded images with a clean JSON response schema, and separately built a face-recognition attendance system for universities using OpenCV.",
      "keywords": [
        "Python",
        "OpenCv",
        "FastApi",
        "react"
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    "seniority": "entry",
    "highestEducation": "Bachelor's"
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