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2 followers · 4 following
  • Kyoto

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Achievement: Pair ExtraordinaireAchievement: Pull Sharkx3Achievement: Quickdraw

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx3Achievement: Quickdraw

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mhajjaj/README.md

Hi, I'm Mohammed Hajjaj 👋

AI Research & Development Engineer | Generative AI | Agentic AI | AI Infrastructure

I design and build production-ready AI systems that bridge research and real-world applications. My work spans Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Vision-Language Models (VLMs), Computer Vision, and scalable AI infrastructure. I enjoy turning cutting-edge AI research into reliable, efficient, and deployable solutions.

🛠 Tech Stack

  • Languages: Python, Java, SQL
  • AI/ML: PyTorch, TensorFlow, Hugging Face, OpenCV, YOLO
  • Generative AI: Transformers, LangChain, LlamaIndex, RAG, Prompt Engineering
  • Backend: FastAPI, REST APIs
  • Infrastructure: Docker, Kubernetes, Linux, CUDA, Git
  • Model Serving: vLLM, Ollama

🚀 Areas of Interest

  • Generative AI & Agentic AI
  • AI Research & Development
  • Physical AI & Edge AI
  • Computer Vision & Multimodal AI
  • AI Infrastructure & MLOps
  • High-Performance Computing (HPC)
  • Distributed Training & Model Serving

🔬 Currently Working On

  • Production LLM inference with vLLM & Nvidia H200
  • Agentic AI workflows and AI orchestration
  • AI infrastructure for enterprise deployments
  • Multimodal AI and Vision-Language Models

Pinned Loading

  1. openrouter-demo openrouter-demo Public

    Python 1

  2. generative-ai-for-beginners generative-ai-for-beginners Public

    Forked from microsoft/generative-ai-for-beginners

    21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

    Jupyter Notebook 1

  3. artificial-intelligence-engineer-coursera artificial-intelligence-engineer-coursera Public

    https://www.coursera.org/programs/artificial-intelligence-engineer-2-250d9

    Jupyter Notebook

  4. llm-tree-sokoban llm-tree-sokoban Public

    Tree-based planning for Sokoban using single-step LLM action prediction

    Python