class Araf:
    university   = "BRAC University"
    degree       = "B.Sc. in Computer Science & Engineering"

    interests    = [
        "Artificial Intelligence & Machine Learning",
        "Data Science & Analytics",
        "Quantum Computing",
        "Cybersecurity & Ethical Hacking",
        "Software Engineering",
    ]

    living_moment = {
        "learned"  : [
            "🖥️  Operating Systems       — processes, scheduling, semaphores",
            "⚙️  Digital Logic Design     — K-Maps, Boolean algebra, circuits",
            "🏗️  Software Engineering     — SDLC, Agile/Scrum, UML, architecture",
            "🤖  Automata & Computability — FSMs, PDAs, Turing machines",
            "🔢  Numerical Analysis       — LU decomposition, linear systems",
            "🗄️  Database Management      — SQL, normalization, transactions",
        ],
        "learning" : [
            "🧠  ML / Deep Learning       — neural nets, model training pipelines",
            "⚛️  Quantum Computing        — circuits, Qiskit, hybrid QML",
            "🔐  Cybersecurity            — pentesting, Burp Suite, bug bounty",
            "📊  Data Science & EDA       — Pandas, Streamlit, storytelling",
            "🌐  LLM & AI Tooling         — LangChain, Claude API, RAG, MCP",
            "💼  Freelancing              — Fiverr (AI/ML & data science)",
        ],
    }

    thesis_focus = "ML & Quantum Computing applied to Cybersecurity"
    goal         = "Become a globally impactful CS professional"