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Achievements

Achievement: QuickdrawAchievement: Pull Sharkx3Achievement: Pair Extraordinairex3Achievement: YOLO

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jmakishimu/README.md
  • 👋 Hi, I’m @jmakishimu

🧠 Who I Am

I’m Jean-Maxime Larouche — AI researcher, computational neuroscientist, and entrepreneur. I build bridges between neuroscience, AI, and philosophy to design systems that are intelligent, interpretable, and ethically grounded.

🔬 Interests

  • Neuroscience-based AI architectures
  • Symbolic and sub-symbolic integration
  • Responsible and sustainable AI infrastructures
  • Attribution, memory, and consciousness modeling in computational systems
  • High-leverage theory building — from epistemology to implementation

🌱 Currently Learning / Building

  • Low-level firmware-to-software optimization for ML inference
  • Scalable cognitive benchmarks and datasets for LLMs
  • Causal representation learning and self-reflexive architectures
  • Topological foundations for consciousness modeling (via the PST framework)

🤝 I’m Open to Collaborate On

  • Hybrid AI systems integrating formal reasoning and perception
  • Scientific and ethical foundations of AGI
  • Initiatives compensating human creators in the AI training loop
  • Startups or coalitions aiming to reimagine human-AI co-agency

📫 How to Reach Me

😄 Pronouns

He / Him

Pinned Loading

  1. custom-sparse-cuda-kernel custom-sparse-cuda-kernel Public

    An Efficient Block-Sparse MoE Framework

    Python 2 1

  2. hebian-pruning hebian-pruning Public

    Hebbian-Inspired Iterative Pruning for Transformers

    Python 1

  3. openvino-lambda openvino-lambda Public

    An Optimization Study with OpenVINO

    Python 1

  4. phase-ray phase-ray Public

    A Triton-Accelerated Neural Renderer with Phase-Modulated Fields

    Python 1

  5. sparse-gemma sparse-gemma Public

    Accelerating LLMs with Structured Pruning and Triton Kernels

    Python 1