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  • AI Research
  • 09:46 (UTC +01:00)

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heyyatheworld/README.md

Hi there! I'm a Mathematician & AI Engineer 🤖🧮

I bridge the gap between rigorous mathematical theory and cutting-edge AI. I specialize in building intelligent systems that can "think," extract deep knowledge from complex data, and interact with users in real-time.

🔭 What I Do:

  • 🔢 Mathematical Modeling: Applying strong analytical foundations to optimize LLM performance and data structures.
  • 🗄️ Data Engineering: Preprocessing and structuring complex datasets for optimal LLM retrieval.
  • 🧠 LLM Orchestration: Deep production experience with LangChain and LlamaIndex.
  • 📂 Advanced RAG: Building sophisticated document retrieval systems and complex GraphRAG architectures.
  • 🤖 Agentic Workflows: Designing autonomous and multi-agent systems.
  • 💬 Conversational AI: Developing high-end Telegram and Discord bots with seamless neural network integration.
  • 🐍 Backend: Writing clean, scalable, and efficient Python code.

🛠 Tech Stack:

⚡ Quick Q&A:

  • Math or Magic? Math is the only magic that actually works.
  • GraphRAG or Classic RAG? Always go for Graphs—topology matters!
  • Favorite Tool: Anything that makes the model hallucinate less.
  • Let's Connect: Telegram

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  1. ollama-debate ollama-debate Public

    🏛️ AI Debate Arena: Socrates vs. Machiavelli. Multi-agent LLM orchestration using Ollama, featuring Rich UI, YAML configs, automated Markdown logging, and Pytest coverage. ⚖️

    Python 1 1

  2. bug-hunter bug-hunter Public

    🤖 BugHunter — An educational project showcasing LLM capabilities in automated code analysis. Uses Python and Rich to visualize how AI detects, logs, and proposes fixes for bugs in real-time.

    Python

  3. silicon-waves silicon-waves Public

    ⚡ The digital ghost in the machine. A fully autonomous AI Radio Host broadcasting from the neon-lit depths of the net. Built with Python and Neural Networks.

    Python

  4. simple-rag-template simple-rag-template Public

    A minimal RAG pipeline that indexes Markdown documents and answers questions using **Ollama** and **ChromaDB**. No API keys required.

    Python