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Arasoul/README.md

Ahmed's Building Notebook — data to understanding to shipped systems

Hey, I'm Ahmed 👋

AI & Data Engineer from Cairo.

I like taking work that feels annoyingly repetitive and turning it into a system that just runs — so humans can spend time on the parts a computer can't do yet.

Ahmed's current engineering focus

Portfolio LinkedIn Email

Profile views

On my desk right now

🟨 teaching CS 🟦 wiring up AI automation workflows 🟩 exploring data-intelligence tooling 🟪 turning experiments into products

Things I've built

The stuff I keep coming back to:

AI Pharaoh — computer vision and NLP for ancient scripts
AI Pharaoh
Actually teaching a machine
to read hieroglyphs. 		Meridian Wings — MILP optimization for fleet planning
Meridian Wings
Optimizing a network
when the future is uncertain. 		AutoEDA — automated exploratory data analysis
AutoEDA
Give it a dataframe.
It asks the annoying questions first.
DataPrepToolkit — data preprocessing, validation and profiling
DataPrepToolkit
Messy data in.
Usable data out. 		Healthcare ML API — FastAPI predictions for patient no-show and wait times
Healthcare ML API
Models wrapped in an API
that actually deploys. 		Movie Search — semantic movie recommendations with vector embeddings
Movie Search
Semantic movie search.
Meaning instead of keywords.

🗒️ AutoBI lives on the portfolio rather than the public repo shelf. It's one of my main data-intelligence projects — explore the full case study →

The data experiment

I got tired of rewriting the same data workflow for every project. So I started building the pieces I kept redoing:

Data journey sketch: messy.csv through DataPrep, AutoEDA, AutoAnalytics to AutoBI

Each tool came from the question the previous one left unanswered.

  • DataPrepToolkit — prep, validate, profile (171 tests, MIT)
  • AutoEDA — explore, visualize, report (265 tests, MIT)
  • AutoBI — dashboards that survive contact with real data

Tools I keep reaching for

AI / Data

Python PyTorch TensorFlow scikit-learn OpenCV Pandas NumPy

Engineering

FastAPI Docker Git GitHub Actions TypeScript React PostgreSQL

Automation / Analytics

n8n SQL Power BI · APIs

Build · Think · Train · Ship · Automate

Code trails

A small snapshot of what accumulates when I spend too much time inside repositories.

Ahmed's GitHub activity statistics   Languages used across Ahmed's public repositories

Repo languages, not a skill ranking.

The cards live in this repo and refresh daily via a GitHub Action — no third-party stats service. Jupyter Notebook is excluded from the language chart.

Side quests

Not everything needs to become a product. Sometimes I build something just because the problem looks fun.

On my whiteboard

Things on my mind lately:

  • → making AI agents actually useful in messy, real-world workflows
  • → automation that survives the ugly edge cases
  • → turning notebooks into products people can rely on
  • → going from a dataframe to a decision people trust

Say hi

If you're building something interesting, wrestling with messy data, or just want to talk AI systems — reach out.

Portfolio · LinkedIn · Email

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  1. DataPrepToolkit DataPrepToolkit Public

    Production-quality Python package for automated data preprocessing, profiling, validation, and data quality reporting.

    Python

  2. AutoEDA AutoEDA Public

    Production-ready automated exploratory data analysis toolkit with profiling, statistical analysis, visualization, business insights, and professional HTML/PDF reporting.

    Python

  3. AI-Pharaoh AI-Pharaoh Public

    AI Pharaoh is an AI-powered cultural heritage platform that combines Computer Vision, Natural Language Processing, and Augmented Reality to automatically recognize Egyptian monuments, interpret hie…

    Python

  4. face-recognition-streamlit face-recognition-streamlit Public

    🎯 Neural Face Recognition Matrix - Professional AI-powered biometric identification system with real-time face detection, recognition, and cyberpunk-styled interfaces. Features both web (Streamlit)…

    Python 3

  5. movie-recommendation-vector-search movie-recommendation-vector-search Public

    🎬 Intelligent movie recommendation system powered by vector embeddings and semantic search. Built with MongoDB, Qdrant, Next.js, and local ML models for privacy-focused AI recommendations.

    TypeScript

  6. Network-Packet-Analyzer Network-Packet-Analyzer Public

    Network packet sniffer and analyzer with ML classification, real-time GUI, and intrusion detection capabilities

    Python 2