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Azimml/README.md

Hi there, I'm Azimbek πŸ‘‹

Senior Machine Learning Engineer

LinkedIn GitHub

🧠 About Me

  • πŸ”­ I'm currently working on AI & Machine Learning projects
  • 🌱 I'm exploring Deep Learning, NLP, and Computer Vision
  • πŸ’‘ Passionate about Fintech + AI intersections
  • πŸ“ Based in Tashkent, Uzbekistan
  • πŸ’¬ Ask me about Python, ML pipelines, and AI systems
  • πŸ“« Reach me at: LinkedIn & azimbekolimbekov1@gmail.com

πŸ› οΈ Tech Stack

Python TensorFlow PyTorch Scikit-Learn Pandas NumPy Jupyter OpenAI HuggingFace LangChain FastAPI Docker Git VS Code


πŸš€ Featured Projects

Project Description Tech
🌐 Trellis-WebGPU 3-bit trellis-quantized 8B LLM running a full forward pass in-browser on WebGPU β€” no CUDA Python, WebGPU, WGSL
⚑ Triton Kernels High-performance GPU kernels for LLM inference (RMSNorm, SwiGLU, W4A16/W8A16 GEMMs, fused MoE) Python, Triton, CUDA
πŸ”¬ Agent Quality Inspect User-aware evaluation of agentic AI systems: subgoal metrics (AUC, PPT, pass@k) + automated error analysis Python, Agent Eval, LLM
⏱️ Adaptive Test Time Compute Per-instance test-time compute scaling for LLM reasoning via consensus-based adaptive sampling Python, GSM8K, Consensus Sampling

Pinned Loading

  1. adaptive-test-time-compute adaptive-test-time-compute Public

    Adaptive Test-Time Compute Controller β€” per-instance compute allocation for LLM reasoning. 47% compute reduction at equivalent accuracy on GSM8K (n=300).

    Python 1

  2. trellis-webgpu trellis-webgpu Public

    First trellis-coded LLM quantization decoder outside CUDA β€” an 8B model running its full forward pass in a browser on WebGPU. SOTA 3-bit quality (1.15x fp16).

    Python 2

  3. agent-quality-inspect agent-quality-inspect Public

    Toolkit for user-aware evaluation of agentic AI systems: subgoal metrics (AUC, PPT, pass@k/pass^k) and automated LLM error analysis

    Python 1

  4. gptq-from-scratch gptq-from-scratch Public

    From-scratch PyTorch implementation of GPTQ post-training quantization (2/3/4-bit) with multi-architecture support

    Python 1

  5. onnx-graph-diff onnx-graph-diff Public

    CLI tool to locate N:M subgraph differences between ONNX models, with pluggable LLM-assisted matching and an independent equivalence checker

    Python 1

  6. triton-kernels triton-kernels Public

    High-performance GPU kernels for LLM inference in OpenAI Triton: RMSNorm, SwiGLU, W8A16/W4A16 quantized GEMMs (symmetric + asymmetric), fused MoE dispatch

    Python 1