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Ammar-Alnagar/README.md

Greetings ๐Ÿ‘‹, Fellow Tech Wizard .

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๐ŸŒŸ Welcome to My GitHub!

Iโ€™m Ammar Alnagar

AI Engineer | Problem Solver | Tech Explorer

Hi there! Iโ€™m an AI enthusiast who loves building practical solutions with Large Language Models (LLMs), multimodal AI, and cognitive systems. My focus is on crafting tools and models that help solve real-world problems, make life easier, and push the boundaries of what AI can do.


๐Ÿš€ What Iโ€™m Working On

๐Ÿ”ฑ CogniLink 70B - Decoding complexity A SOTA model finetuned for reasoning and Chain-of-thought design to handle complex problems and reasoning tasks.

๐Ÿง  PathfinderAI 32B โ€“ Smarter Thinking
A model fine-tuned for reasoning and problem-solving, designed to handle complex challenges in real-time.

๐Ÿ“œ Document Sage โ€“ Smarter Data Extraction
Developing an AI-powered system for semantic search and contextual understanding, making document processing faster and smarter.

๐Ÿ”— RAG Architect
Experimenting with Retrieval-Augmented Generation to build context-aware agents that are efficient and reliable.


๐ŸŒฑ What Iโ€™m Learning

  • Reinforcement Learning & Multi-Agent Systems: Building AI systems that learn and work together effectively.
  • Probabilistic Models: Exploring Bayesian methods and particle filtering to improve AI decision-making.
  • Mamba2 SSMs: Advancing dynamic modeling for more adaptable AI solutions.
  • Few-Shot and Meta-Learning: Finding better ways to train models with less data.

๐Ÿ’ป What I Can Help With

๐Ÿ”น Building Intelligent AI Agents: Creating systems that think, learn, and adapt.
๐Ÿ”น Optimizing LLMs for Edge Devices: Deploying AI thatโ€™s both powerful and lightweight.
๐Ÿ”น Multimodal Systems: Combining text, visuals, and context for richer AI experiences.
๐Ÿ”น Practical AI Solutions: From document processing to conversational tools, I enjoy solving challenges with real impact.


๐Ÿค Letโ€™s Collaborate!

Iโ€™m always up for working on exciting projects, especially if they involve:

  • Building practical AI tools to solve everyday problems.
  • Exploring the potential of multimodal and reasoning-driven systems.
  • Innovating with retrieval-augmented frameworks or LLMs.

๐Ÿ“ฌ Feel free to reach out or connect with me on LinkedIn. Letโ€™s share ideas and build something amazing together!

๐Ÿ† GitHub Stats

ammar-alnagar

Ammar-Alnagar's Stats


GitHub Snake

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  1. Enlightener Enlightener Public

    Enlightener, the cutting-edge Retrieval-Augmented Generation (RAG) system that revolutionizes query responses. By combining the power of SSM models (Mamba) with the advanced GGUF Mamba models,

    Python 14 2

  2. Self_learning_RAG_With_COT Self_learning_RAG_With_COT Public

    Python 15 1

  3. Enhanced-LLM-Agent- Enhanced-LLM-Agent- Public

    ๐Ÿค–๐Ÿง  A dynamic LLM-based agent capable of answering natural language queries using a variety of tools. Powered by LangChain, OpenAI, and Flask, this project demonstrates flexible querying and tool seโ€ฆ

    Python 12 1

  4. MARL_Multi-Agent-RL-for-Negotiation-and-Collaboration MARL_Multi-Agent-RL-for-Negotiation-and-Collaboration Public

    Multi-Agent RL for Negotiation and Collaboration

    Python 1