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Building-AI-Systems
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Building-AI-Systems

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kartik0905/README.md
Kartik Garg

AI ENGINEER  |  BACKEND ENGINEER

Website   •   LinkedIn   •   Email


About

I'm an AI & Backend Engineer focused on building LLM-powered systems that move beyond demos into production-ready intelligence.

My work centers around:

  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Agentic AI & multi-agent workflows
  • Scalable backend systems for AI applications

I enjoy designing systems where reasoning, retrieval, and action come together.

AI Coding

Toolkit


Activity



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  1. git-archaeologist git-archaeologist Public

    An AI-powered RAG tool that turns Git history into a searchable knowledge base to uncover the 'why' behind your code.

    Python

  2. newsroom_agent newsroom_agent Public

    An AI-powered debate engine that orchestrates cognitive friction between conflicting viewpoints to generate unbiased reporting.

    Python

  3. vectorless-rag vectorless-rag Public

    A blazing-fast, vectorless RAG pipeline that queries Markdown via hierarchical JSON trees.

    Python

  4. Website-Chatbot Website-Chatbot Public

    JavaScript

  5. personal-notifier personal-notifier Public

    An interactive Gradio-based AI assistant powered by OpenAI that represents me — answering questions about my background, skills, and experience. If the AI can’t answer or a user shares their detail…

    Jupyter Notebook

  6. mcp-agent mcp-agent Public

    A modular AI agent leveraging MCP servers to perform math, weather, and other tool-based tasks via natural language.

    Python