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aymen-000/README.md

👋 Aimen Boukhari

AI Developer — Algeria 🇩🇿


🧠

I explore representations hidden in latent space,
where models learn without labels,
and structure emerges from silence.

Self-supervised learning is my starting point —
I build the cake (SSL),
and you put the cherry (RL).


I am drawn to reasoning in AI,
not just what models predict,
but how they think.

Beyond equations and optimization,
I look for the core —
the mechanisms beneath intelligence.


I am inspired by vision,
not only from machines,
but from nature itself.

From the simplicity of insects,
to the efficiency of perception,
I ask:
how can small systems see so well?


🌌

  • Latent space representations
  • Self-supervised learning
  • Reasoning in AI systems
  • Brain-inspired vision
  • Bio-inspired intelligence (insects & perception)

📊

GitHub Stats

GitHub Streak


🌐

LinkedIn: https://linkedin.com/in/aimen-boukhari-5a64b9284
Email: [email protected]
Portfolio: https://aimen-boukhari.netlify.app/


"Not just building models — understanding intelligence."

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  1. travel_agent travel_agent Public

    🌍 AI Travel Agent - Intelligent multi-agent system powered by LangGraph that coordinates specialized AI agents (flight search, hotel booking, activity planning) to provide personalized travel recom…

    TypeScript 21 4

  2. Dream2Drive Dream2Drive Public

    Offline skill-conditioned world model for zero-shot F1TENTH racing, using temporally abstract planning with MPC (CEM)

    Python 1

  3. flynn-robot-navigation flynn-robot-navigation Public

    Reproduction of FLYNN: robot navigation using fruit-fly brain connectome topology, with a comparative study of DAgger and Behavior Cloning (BC) in MuJoCo.

    Python 1

  4. SchoolofAI-Algiers/physics-aware-transformer SchoolofAI-Algiers/physics-aware-transformer Public

    Physics-Aware Transformer (PAT) for solving PDEs (Navier–Stokes equation) , extending PINNs with bidirectional space-time modeling, Fourier embeddings.

    Python 4 3

  5. predict-reconstruct-language-models predict-reconstruct-language-models Public

    "Predict and Reconstruct: Joint Objectives for Self-Supervised Language Representation Learning" — hybrid JEPA + MLM pre-training for text encoders with GLUE evaluation : https://arxiv.org/abs/2606…

    Python 5

  6. PaperLens PaperLens Public

    An intelligent research discovery platform that automatically crawls ArXiv papers, generates multimodal embeddings, and delivers personalized recommendations through advanced vector search and mach…

    TypeScript 6