const ManavChaudharyResume = {
  personalInfo: {
    name: "Manav Chaudhary",
    title: "Full-Stack Developer | AI Enthusiast",
    email: "mchaud81@my.centennialcollege.ca",
    phone: "(587) 969-2382",
    linkedIn: "https://www.linkedin.com/in/manavvc/",
    gitHub: "https://github.com/manav-vc"
  },
  summary: [
    "Full-stack developer and AI enthusiast with strong academic performance (GPA: 4.35/4.5) and hands-on experience in developing scalable applications.",
    "Skilled in full-stack development (MERN, Angular, Spring Boot) and machine learning (TensorFlow, PyTorch, Scikit-learn).",
    "Proven ability to design and implement features that improve usability, efficiency, and performance for government applications.",
    "Experienced in Agile workflows, CI/CD pipelines, and collaborative software development environments."
  ],
  skills: {
    languages: [
      "Java", "Python", "C#", "SQL", "PLSQL", "JavaScript", "TypeScript", "PHP", "Visual Basic", "HTML/CSS", "XML"
    ],
    frameworks: [
      "Angular", "React", "Node.js", "Express.js", "Flask", "Spring Boot", "ASP.NET", "JUnit", "WordPress", "Bootstrap"
    ],
    developerTools: [
      "Git", "Azure DevOps", "Figma", "Postman", "Maven", "BrowserStack", "Android Studio", "Linux"
    ],
    databases: [
      "MongoDB", "MySQL", "Oracle Database", "SSMS", "Microsoft Report Builder"
    ],
    mlLibraries: [
      "pandas", "NumPy", "Matplotlib", "Scikit-learn", "TensorFlow", "PyTorch"
    ]
  },
  experience: [
    {
      title: "Jr. Software Engineer Co-op",
      company: "Government of Ontario - Ministry of Children, Community and Social Services",
      duration: "Jan 2025 – May 2025",
      location: "Toronto, ON",
      responsibilities: [
        "Developed the MSN feature using Angular and TypeScript for the MyBenefits portal, enabling 276K+ ODSP clients to request diabetic supplies online and reducing manual processing by 40%.",
        "Engineered a document upload feature using Angular and REST APIs, enhancing module-wide file handling and increasing monthly uploads by 34%.",
        "Released a new version of ods-component (private npm package) with a custom Angular paginator, enabling table navigation across 10+ modules.",
        "Worked in Agile sprints via Azure DevOps, contributing to CI/CD delivery and team code reviews."
      ]
    },
    {
      title: "Software Developer Intern",
      company: "Government of Ontario - Ministry of Attorney General",
      duration: "May 2024 – Sept. 2024",
      location: "Toronto, ON",
      responsibilities: [
        "Built search/sort functionality and redesigned UI for Deputy Judges Database using React, C#, and SQL, benefiting 200+ internal users.",
        "Enhanced the JPSS app with update/delete features and table calculations using Visual Basic, ASP.NET, and SQL, reducing data entry time by 28%.",
        "Developed a map tab for the redesigned SCJ site using JavaScript and Google Maps API, displaying 50+ court locations with interactive pins and labels."
      ]
    },
    {
      title: "Programming Tutor",
      company: "Centennial College",
      duration: "Sept. 2024 – Present",
      location: "Toronto, ON",
      responsibilities: [
        "Tutored students in C#, Java, Python, and MERN stack for labs and real-world scenarios.",
        "Provided support in Linear Algebra, Statistics, and Calculus for technical problem-solving.",
        "Introduced Agile methodologies to students for effective project workflows."
      ]
    }
  ],
  education: {
    institution: "Centennial College",
    program: "Advanced Diploma in Software Engineering – AI",
    location: "Toronto, ON",
    duration: "Sept. 2023 – Present (Expected Graduation: Dec. 2026)",
    GPA: "4.35/4.5",
    focusAreas: [
      "Machine Learning", "Data Structures", "Algorithms", "OOP", "Full Stack Development", "Testing & QA"
    ]
  },
  projects: [
    {
      name: "Live Aquaria",
      technologies: ["React JS", "Three.js", "Node.js", "Express", "MongoDB", "Leaflet API", "Gemini API"],
      duration: "Nov. 2024 – Dec. 2024",
      description: [
        "Built an AI-powered web app to identify fish species in real-time using Google’s Gemini API.",
        "Created an interactive 3D aquarium with React and Three.js to visualize user catches.",
        "Integrated Leaflet API for global fishing map visualization.",
        "Developed backend with Node.js, Express, and MongoDB Atlas for scalable data management."
      ]
    },
    {
      name: "NLP - Email Spam Detector",
      technologies: ["Python", "Scikit-learn", "NLP", "TF-IDF", "Naive Bayes"],
      duration: "Oct. 2024 – Nov. 2024",
      description: [
        "Built a binary classification model to detect spam messages using TF-IDF and Naive Bayes.",
        "Preprocessed and vectorized 5,000+ samples with CountVectorizer.",
        "Achieved 91% accuracy through hyperparameter tuning with cross-validation."
      ]
    }
  ]
};