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yugaaank/README.md

Yugank Rathore

Computer Science student at Christ University (AI/ML & Robotics). I work at the intersection of software, hardware, and edge intelligence—building systems meant to function, not impress on slides.

🔹 About

Focused on AI models, embedded deployment, and robotics memory systems. Solid grounding in DSA, Computer Architecture, and systems-level thinking. Comfortable across Python, Java, C, HTML/CSS/JS, and Linux.

🔹 Skills

  • Languages: Python, Java, C, JavaScript, HTML/CSS, MIPS
  • AI/ML: Model development, applied ML, AGI theory
  • Robotics: Humanoid integration, Jetson/Orin systems, hardware–software sync
  • Systems: Edge computing, embedded systems, Linux (WSL)

🔹 Projects & Interests

ML applied to real-world tasks, cryptography experiments, and technical analysis of consumer hardware. Also into Formula 1 and competitive gaming.

🔹 Goals

Develop intelligent, autonomous systems that augment human capability—especially in robotics and edge AI.

🔹 Links

🔹 Education

B.Tech CSE (AI/ML & Robotics), Christ University
Graduation: 2028

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  1. AlgoScan AlgoScan Public

    Machine-learning pipeline and Flask interface for identifying cryptographic algorithms from raw ciphertext.

    Python 1

  2. InterventionGPT InterventionGPT Public

    RAG-based Streamlit app that uses Chromadb and Hugging Face models to scan a road-safety issue database and generate targeted intervention strategies for the National Road Safety Hackathon 2025 (IITM)

    Python

  3. portfolio portfolio Public

    A clean, fast, single-page portfolio showcasing my skills, projects, and identity as a CS (AI/ML) developer.

    TypeScript

  4. yugaaank yugaaank Public

    Config files for my GitHub profile.