Omar Chenine

About

The last mile is the work.

I am a fourth year Data Science Engineering student at Abdelhamid Ibn Badis University. I build AI systems end to end: data, modeling, retrieval, evaluation, deployment, and the interface. I care more about baselines and failure modes than leaderboards.

Approach

Start with a baseline. If the method cannot beat a simple one, add complexity only when the metric shows it. Keep preprocessing inside the fold. Split by time when order matters.

Treat uncertainty as a product decision. A review flag is better than a false confident answer. In voice, latency is the product. In retrieval, the retriever is measurable before the generator.

Write down limitations. If a number is missing, it stays as a pending state until it exists. The site enforces that.

Now

  • RAG retrieval evaluation

    In progress

    Freezing the eval set and comparing BM25 with the dense retriever.

  • ECG review flag calibration

    In progress

    Turning signal quality into a threshold a reviewer can trust.

  • This portfolio

    Shipped

    Filling missing facts and running the deployed audit.

Education

Data Science Engineering

Abdelhamid Ibn Badis University

Fourth year of five / Remote

Internships and certifications are pending. See the resume for the current state.

GitHub

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