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Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2

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Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2

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ahmadmhmdsy/README.md

Ahmad Mahmoud

ML engineer working on Arabic NLP and LLM agent tooling. I train small models that run on CPU, and I build the tools agents need to work well on long projects.

  • 🔤 I publish open Arabic diacritization (tashkeel) models on Hugging Face
  • 🤖 I wrote a TypeScript port of Hugging Face smolagents
  • 🛠️ Python · TypeScript · PyTorch · ONNX · React · Kotlin

Featured projects

Project What it is Proof
tashkeel-nano Arabic diacritization with a 1.08M-parameter character Transformer: training pipeline, evaluation harness, PyTorch + ONNX weights, demos DER 3.78 on SadeedDiac-25 · models · live demo
smolagents-ts Independent, unofficial TypeScript port of Hugging Face smolagents 200+ commits · large test suite · CI
localpdf-studio Browser-only PDF studio: merge, split, edit, annotate, convert, OCR. Files never leave the device React + TypeScript · tested · CI
agent-context-template Drop-in context pack for coding agents, with a validator that fails when the docs drift One entry point, scoped rules, script-checked

More work

Small-LM training on a single 8 GB GPU, anime super-resolution with distillation, multi-agent orchestration, and an Arabic-first Android e-commerce app. These live on my second account, @alshahia.

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  1. smolagents-ts smolagents-ts Public

    Independent, unofficial TypeScript port of HuggingFace smolagents

    TypeScript

  2. tashkeel-nano tashkeel-nano Public

    Arabic diacritization (tashkeel) with a 1.08 M parameter character Transformer: full training pipeline, evaluation harness, published weights (PyTorch + ONNX), and Gradio/static demos

    Python

  3. alshahia/nano_SLMs alshahia/nano_SLMs Public

    Small language-model training pipeline for a single 8 GB GPU: data prep, tokenization, training and evaluation, with smoke, pilot and target phases.

    Python

  4. agent-context-template agent-context-template Public

    A drop-in, script-checked context pack for coding agents: one entry point, pointer-only adapters, scoped rules, and a validator that fails when the documents rot.

    Python