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IbrokhimN/README.md
me_fr

hi there, im core ai engineer ibrokhim :)


whoami

Im an young 16 yo Core/AI enthusiast, passionate for digging into blackboxes like OS, DL frameworks etc

Currently obsessed with:

  • Machine Learning from scratch
  • CUDA & GPU programming
  • Rust & operating systems
  • Robotics / ROS2
  • ML systems & optimization
  • building unnecessarily low-level things

If I can use a library, I probably want to know how it works first.


github stats


tech stack


things i enjoy building


(づ。◕‿‿◕。)づ   ✧ machine learning ✧
              ✧ CUDA / GPU stuff ✧
              ✧ systems & operating systems ✧
              ✧ robotics ✧
              ✧ computer vision ✧
              ✧ LLMs ✧
              ✧ ML infrastructure ✧

currently learning


find me


every Black Box is a bit fun to open :)

Pinned Loading

  1. tinytensor tinytensor Public

    tinytensor - A lightweight educational deep learning framework in Python and NumPy featuring a custom graph autograd engine, modular architecture, and built-in infrastructure (layers, loss function…

    Python 10 1

  2. IluminOS IluminOS Public

    Educational 64-bit operating system written from scratch in Rust 🦀 running on bare metal (in QEMU). From boot to a graphical interface with a browser, built entirely without the standard library no…

    Rust 10 1

  3. HangulAI_Model HangulAI_Model Public

    AI model for recognizing Korean Hangul characters using a CNN in PyTorch. Incorporates data augmentation, batch normalization, dropout, and AdamW optimizer. Supports scalable training, early stoppi…

    Python 12

  4. mini-transformer-numpy mini-transformer-numpy Public

    Implementation of a Transformer from scratch using pure NumPy. Created to gain a deep understanding of the underlying mathematics, attention mechanisms, and layer normalization, without relying on …

    Python 7

  5. ml-scratch-bench ml-scratch-bench Public

    From-scratch CPU vs CUDA implementations of 10 ML algorithms - AdamW, Nadam, L-BFGS, GMM-EM, Kernel PCA, MLP, Random Forest and more. No PyTorch, no cuDNN, no cuBLAS. Up to 24.7x GPU speedup.

    Cuda 9 2

  6. CUDA-matrix-operations CUDA-matrix-operations Public

    this project is a gpu accelerated cuda project that implements core matrix computations using nvidia cuda. It provides high performance operations, demonstrating parallel linear algebra algorithms …

    Cuda 5