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Arul-Aravind/README.md



Typing SVG





AI/ML • AGENTIC AI • LOCAL RAG • COMPUTER VISION • FULL STACK • SYSTEM DESIGN




>_ SYSTEM.INFO // WHO AM I

const arul = {
  identity: "AI/ML Builder | Full-Stack Developer | Research-Oriented Engineer",
  location: "Tamil Nadu, India 🇮🇳",

  education: [
    "B.E. Computer Science and Engineering - AI & ML",
    "B.S. Data Science and Applications - IIT Madras"
  ],

  current_focus: [
    "Agentic AI Workflows",
    "Local RAG Architectures",
    "Computer Vision Systems",
    "High-Performance Backend Design",
    "Algorithmic Trading Logic",
    "Hackathon-Grade Product Engineering"
  ],

  operating_mode: [
    "Build fast",
    "Ship clean",
    "Explain clearly",
    "Make systems useful",
    "Turn ideas into demos"
  ],

  philosophy: "No fluff. Build systems that work."
};

>_ NEURAL.STACK // TECHNOLOGIES

Stack typing



LANGUAGES



AI / ML / AGENTS



BACKEND / DATABASES / INFRA



FRONTEND / PRODUCT



>_ PROJECT.ARCHIVE // SELECTED BUILDS

[01] Corusca Lumina / DataQualityAI

Advanced verifiable AI-agent workflows using retrieval, structured reasoning, local inference, and multi-agent planning.



Stack: FastAPI, LangChain, llama.cpp, Local RAG

[02] De-Disabled Interface

Hands-free accessibility interface using head movement and vision-based interaction for cursor control.



Stack: Python, Computer Vision, ML, Web UI

[03] Sky Sentinels Telemetry

Autonomous UAV-based river water-quality monitoring system with real-time telemetry and ML sensor drift detection.



Stack: ESP32, IoT, Python, Random Forest, Cloud Pipeline

[04] Algorithmic Trading Systems

Trading strategy logic, basket arbitrage workflows, simulation-driven optimization, and system-level decision design.



Focus: Quant Finance, Algorithms, System Architecture



>_ HALL.OF.FAME // ACHIEVEMENTS

👑 Smart India Hackathon 2025 Winner

Hardware Edition winner for a UAV-based river water-quality monitoring and telemetry system.

🏆 CUKCS-AITHON 2026 Winner

Built a hands-free accessibility interface using head movement and computer vision interaction.

🌍 Global AI Hackathon Finalist

Finalist in a global AI hackathon environment with strong technical and product competition.

⌨️ 500+ LeetCode Problems

Consistent algorithmic problem-solving with optimized solutions and competitive coding practice.



>_ CURRENT.MISSION

[01] Build AI systems that are practical, explainable, and demo-ready.
[02] Push deeper into agentic workflows, local LLMs, RAG, and system design.
[03] Convert hackathon ideas into polished, production-style products.
[04] Keep solving, shipping, optimizing, and improving every cycle.
[05] Engineer useful systems instead of decorative demos.

Footer typing





>_ END OF FILE. SYSTEM STILL BUILDING.

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