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ahmedhajyahmed/README.md

πŸ’« About Me:

🎯 About Me

πŸ‘‹ Hey there! I'm Ahmed Haj Yahmedβ€”a curious mind who's convinced a language model to write this for me πŸ€–.

πŸ› οΈ I'm currently working on:
- Building AI models that actually understand what you mean β€” not just guess it πŸ˜…
- Training robots to not overthrow humanity and instead, just pick and place objects 🦾
- Experimenting with LLMs to turn abstract ideas into actionable robotic tasks βš™οΈπŸ§ 
- Exploring new ways to make machines more helpful (and less stubborn)

🀝 I'm looking to collaborate on:
- Cool AI/ML and LLM projects πŸ”πŸ“–
- Innovative AI-driven applications, from vision systems to interactive bots πŸ› οΈπŸ’¬

🌱 I'm currently learning:
- Advanced techniques in LLM fine-tuning and inference optimization πŸ§ πŸ”
- MLOps best practices to keep AI models happy and efficient πŸš€
- German πŸ‡©πŸ‡ͺ (because why not confuse my brain even more?)

πŸ’¬ Ask me about:
- Making robots understand your vision (literally, it's called Vision AI 🎯)
- Designing AI-powered chatbots that don’t just talk but actually understand
- Using LLMs to bridge the gap between human language and robotic actions πŸ€–βž‘οΈπŸ—οΈ

---

πŸ€– "AI is like a toddler: curious, impressive, but occasionally throws tantrums."
πŸ› οΈ Let's build the future, one model at a time!

🌐 Socials:

LinkedIn Stack Overflow

πŸ’» Tech Stack:

Python TensorFlow PyTorch Keras mlflow scikit-learn JavaScript TypeScript Java Azure AWS Google Cloud Flask FastAPI Streamlit Git GitHub Actions OpenCV Docker nVIDIA LaTeX MySQL MongoDB SQLite Matplotlib NumPy Pandas Plotly Scipy

πŸ“Š GitHub Stats:



πŸ† GitHub Trophies

✍️ Random Dev Quote

πŸ” Top Contributed Repo


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  1. DrDRL DrDRL Public

    Framework and data of the paper "An Intentional Forgetting-Driven Self-Healing Method For Deep Reinforcement Learning Systems" published in ASE2023.

    Python 1 1

  2. rached1997/RLDebugger rached1997/RLDebugger Public

    Python 1

  3. hfeniser/DeepFault hfeniser/DeepFault Public

    Python 15 10

  4. SEMLA-Tutorial-Debugging-Deep-Reinforcement-Learning SEMLA-Tutorial-Debugging-Deep-Reinforcement-Learning Public

    This tutorial is an initiation into DRL, during which we’ll try to debug a DRL algorithm containing real bugs using our Debugger RLExplorer.

  5. LOG8415_final_project LOG8415_final_project Public

    Final Lab Assignment of LOG8415: Scaling Databases and Implementing Cloud Patterns

    Python

  6. chandar-lab/RLHive chandar-lab/RLHive Public

    Python 100 9