Available for AI / ML / Backend roles · Cairo & Remote

Mohamed
Abdelhamid

> _

I build the full path from raw signal to shipped product — training models on EEG, images and text, then wrapping them in Django and FastAPI services that real businesses run on. IEEE-published, currently engineering ERP systems for the jewelry industry.

Portrait of Mohamed Abdelhamid
Django ERP
YOLOv5 · 93% mAP
EEG · IEEE 2023

About

Engineer first, researcher by training

I started in research — teaching machines to read intent out of brain signals for my graduation project, which became an IEEE ICICIS 2023 paper that beat the published state of the art on its dataset. That work taught me the part most people skip: a model is worthless until someone can actually use it.

So I went the other direction too. Today I engineer production Django ERP systems for jewelry and gemstone businesses — inventory, invoicing, automated label printing — and I extended that ecosystem with an Android stocktaking app driven by barcode and RFID scanning. Before that, three years of freelance AI delivery taught me how to scope a problem with a client, ship it behind a FastAPI or Streamlit interface, and support it afterwards.

What I’m building toward is the intersection: AI systems that survive contact with production. Computer vision, NLP and signal processing on the modeling side; Docker, CI/CD, MLflow and Airflow on the delivery side.

Experience

Where I’ve shipped

    Projects

    Selected work

    Twenty-one projects across vision, language, biomedical signals and backend engineering. Filter by domain — everything links to source.

    More from the lab

    Toolkit

    What I build with

    Research & credentials

    Published work and training

    Certifications

      Contact

      Let’s build something
      worth deploying

      I’m open to AI/ML engineering roles, backend work and focused freelance projects. The fastest way to reach me is email — I reply within a day.

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