const amar = {
role: "AI Product Engineer",
domains: ["AI/ML Applications", "Security Architecture", "Data-Driven Insights"],
education: "BS Computer Science (in progress)",
exploring: ["Advanced ML Algorithms", "Cloud Security", "Big Data Analytics"],
certified: "Google Certified Professional • 11+ certifications",
shipping: ["npm CLIs", "VS Code extensions", "voice agents", "full-stack apps"],
openTo: ["Collaboration", "Open Source", "Research Initiatives"],
motto: "Building tomorrow's solutions today.",
};🎯 I don't just study AI, security, and data — I ship tools people actually install: CLI packages on npm, VS Code extensions, voice agents, and full-stack web apps.
| 💻 Languages |
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| 🤖 AI / ML |
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| 🔒 Security |
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| 📊 Data |
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| 🌐 Web & Cloud |
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npm security patch CLI — verifies package integrity before install, catching tampered packages and supply-chain attacks before they hit your machine.
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Static analysis for AI tool definitions — audits MCP servers for prompt injection, data exfiltration, and code-execution risks.
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VS Code extension surfacing every TODO / FIXME / HACK in a sidebar — with optional Gemini AI priority triage.
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Browser-based 3D floor planner — draft walls, place furniture, save/load, undo/redo, export layouts. All in WebGL.
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AI voice agent for preliminary medical consultation — symptom analysis at 85% accuracy via ML, with natural speech responses.
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Full-stack Zakat management platform connecting donors and recipients — role-based auth and beneficiary tracking.
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| 🧠 | AI/ML portfolio — building out end-to-end applied ML projects |
| 🔐 | Open-source security — contributing to AI/LLM security tooling |
| 📊 | Analytics dashboards — data storytelling for real operational datasets |
| 🕵️ | Advanced cybersecurity — deep dives into supply-chain and prompt-injection threats |
🧠 Complex problems → AI + data • 🔍 Security research rabbit holes • 📈 Data storytelling • 🌱 Growth mindset • 🎮 Framework explorer
Open to: 🤝 Collaborations • 💼 Tech & innovation talks • 📚 Knowledge sharing • 🚀 New opportunities
