Get in touch about AI engineering and consulting — RAG systems, computer vision, production ML. Based in Rabat, Morocco; open to remote and contract work.
AI engineer building production medical AI — retrieval-augmented clinical assistants and computer-vision triage pipelines that ship behind real safety constraints.
Details
Email: adil.eddarif@gmail.com
Phone: +212 605695329
Location: Rabat, Morocco (Africa/Casablanca)
Availability: Available for AI engineering and consulting work
Open to: Remote, Hybrid (Rabat / Casablanca), Contract, Full-time
What to get in touch about
Adil Eddarif is an AI engineer based in Rabat, Morocco, building production medical AI at the Cheikh Zaïd Foundation. He built a clinical RAG assistant whose emergency-case recall he raised from 50% to 100% by catching a safety-routing bug with an LLM-as-judge evaluation harness, and a two-stage chest X-ray triage pipeline (ResNet50 + YOLOv8) reaching 96.93% accuracy and 99.71% AUC on a 522-image held-out test set.
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chest X-ray AI screening
clinical RAG assistant
Tifinagh OCR
Amazigh script recognition
enterprise AI agents
Recent work worth asking about
Raised emergency-case recall from 50% to 100% on a clinical RAG assistant by finding a safety-routing bug with an LLM-as-judge evaluation harness.
Shipped a two-stage chest X-ray triage pipeline (ResNet50 + YOLOv8) at 96.93% accuracy and 99.71% AUC on a 522-image held-out test set.
Built a 1,000-question golden evaluation dataset with independent faithfulness and hallucination scoring.
Replaced heuristic financial forecasting rules at Attijariwafa Bank with supervised models at 0.90 R², tracked end-to-end in MLflow.
Reached >99% recognition accuracy on Tifinagh script OCR across a 25,740-image dataset.
Before you write
The pages below cover most of what people ask first — the measured outcomes, the stack, and the reasoning behind the systems.