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ElieElDebs/README.md

Hi there! I'm Elie 👋

🧠 PhD Researcher in Neuro-Symbolic AI | 👔 AI Consultant @ CGI

Welcome to my digital lab! I spend my days trying to teach Neural Networks how to follow the laws of logic, and my nights wondering why they still prefer to hallucinate.


🧐 About Me (The Hybrid Mode)

I operate at the intersection of two worlds that I am determined to merge:

  • The Researcher (PhD): My work focuses on Neuro-Symbolic AI. I’m on a mission to marry the statistical power of Deep Learning with the explainable rigor of Symbolic Reasoning. Basically, I want AI to stop just predicting and start reasoning.
  • The Consultant (@ CGI): I help organizations navigate the AI hype. I turn "Generative AI" buzzwords into robust, scalable, and—most importantly—reliable industrial solutions.

My Philosophy: If a model needs 10 billion parameters to realize a cat isn't a dog, it might be missing a bit of common sense (and a few logical rules).


🛠️ The Toolbox (Technical Stack)

  • Deep Learning: PyTorch (my comfort zone), TensorFlow.
  • Symbolic AI: Logic Programming, Knowledge Graphs, Ontologies, formal reasoning.
  • Generative AI: LLMs, RAG Architectures, Prompt Engineering, and fine-tuning.
  • The Classics: Python, Scikit-learn, and the occasional SQL query when reality hits.

🔬 Current Obsessions

  • Explainability: Peeking inside the "Black Box" to see what's actually happening.
  • Logic Injection: Forcing neural nets to respect domain knowledge and physical constraints.
  • AI Ethics: Because a "smart" AI is good, but a "responsible" AI is non-negotiable.

🎨 The Profile Picture Riddle

As you might have noticed, my avatar was generated by Nano Banana.

The Challenge: Can you guess the prompt? Hint: It involves a tropical drink, some complex math, and the idea that even an AI researcher dreams of the beach (or perhaps the idea that the AI works while I sip a cocktail... I'll let you interpret the latent space).


📫 Let's Connect!

Whether you want to discuss First-Order Logic, the challenges of deploying LLMs in production, or debate if a Transformer truly "understands" what it's saying:


"In a world of gradient descent, stay symbolic." 📐✨


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