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MuhammedSenn/README.md

Hi there, I'm Muhammed πŸ‘‹

Building LLM-powered systems and intelligent AI agents, while also conducting various work in QA engineering.


✨ About Me

  • 🧠 I like teaching machines to understand, reason, and make things work.
  • πŸ§ͺ I also enjoy the craft of breaking, testing, and improving software.
  • πŸ–Ό Data, systems, and patterns are the things I naturally gravitate toward.
  • πŸš€ I care about building technology that feels simple, reliable, and genuinely useful.
  • πŸ“š Always learning, always curious.

πŸ›  Tech Stack & Interests


πŸ“Œ Currently Interested In

  • πŸ€– LLMs, smart agents, and retrieval-based AI
  • πŸ” Quality engineering, automation, and systematic thinking
  • πŸ–Ό Vision models and understanding the world through images
  • πŸ“ˆ Clean architectures, predictable systems, and thoughtful design

🌐 Connect With Me

Β 


Pinned Loading

  1. breast-cancer-ml-model-comparison breast-cancer-ml-model-comparison Public

    Machine learning model comparison on the Breast Cancer dataset using GridSearchCV, cross-validation, accuracy metrics, and confusion matrix visualizations.

    Jupyter Notebook 3

  2. AI-Research-Writers-Tool AI-Research-Writers-Tool Public

    Forked from HappyHackingSpace/AI-Research-Writers-Tool

    AI-powered tool for generating technical and academic research articles using arXiv papers and GPT models.

    Python

  3. novella_ai novella_ai Public

    An intelligent literary assistant powered by Google Gemini & LangGraph.

    Python 1

  4. VGG19-Classification VGG19-Classification Public

    Jupyter Notebook

  5. HappyHackingSpace/LevelUp HappyHackingSpace/LevelUp Public

    LevelUp is an AI-powered career companion that helps professionals understand, enhance, and present their skills with clarity.

    Python 9 5

  6. HappyHackingSpace/privacy-policy-analyzer HappyHackingSpace/privacy-policy-analyzer Public

    A command-line tool that automatically fetches, analyzes, and scores website privacy policies using AI to highlight strengths, risks, and recommendations.

    Python 5 3