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Achievements

Achievement: Pull Sharkx3Achievement: Pair Extraordinairex4Achievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pull Sharkx3Achievement: Pair Extraordinairex4Achievement: QuickdrawAchievement: YOLO

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FixFips/README.md

Hi, I'm Osama Sharaf

Software Developer based in Riyadh, Saudi Arabia. I build production web, mobile, and AI applications across the full stack, mainly in React, NestJS, and Python.

graduated with a BSc in Information Technology and Computing (Computer Science track)

Currently working on

Jeeran: A multi-portal real estate management platform with NestJS, React, and React Native.

Things I've built

  • ArabicOCR_KHATT: Arabic handwritten OCR using PyTorch (CRNN-CTC and TrOCR) on the KHATT dataset of around 12,000 images. Includes a Gradio web demo.
  • MoviePage: Movie discovery app in React 19 + Vite + Appwrite, containerized with Docker, deployed to Kubernetes, with full GitHub Actions CI/CD.
  • text-to-handwriting: Bilingual web app that turns text into realistic handwritten pages. Supports English (LTR) and Arabic (RTL) with proper ligature handling.
  • AI Assistant with MCP Servers: FastAPI + LangChain assistant with multi-model fallback across Gemini 2.5, Llama 3.3, Qwen3-coder, and GPT-OSS via OpenRouter.

Tech I use most

Frontend: React, React Native (Expo), Next.js, Tailwind CSS, TypeScript Backend: Node.js, NestJS, FastAPI, Python Data & ML: PyTorch, NumPy, Pandas, LangChain, MCP Databases: MongoDB, MySQL, SQLite DevOps: Docker, Kubernetes, GitHub Actions

Get in touch

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  1. ArabicOCR_KHATT ArabicOCR_KHATT Public

    Arabic handwritten text recognition using a CRNN (CNN + BiLSTM) with CTC loss, trained on the KHATT dataset — includes a Gradio web demo for OCR on your own images.

    Python