AI engineer working on production medical AI systems at the Cheikh Zaïd Foundation in Rabat, Morocco. I build retrieval-augmented generation (RAG) assistants and computer-vision pipelines, and I care most about the part most demos skip: evaluation, failure modes, and the humans who have to trust the output. Alongside that I ship satellite computer-vision pipelines for GeoAP, and previously did AI and data science at Attijariwafa Bank and computer vision at Arteka.
AI engineer building production medical AI — retrieval-augmented clinical assistants and computer-vision triage pipelines that ship behind real safety constraints.
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.
What I have shipped
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.
Delivered a satellite computer-vision pipeline for GeoAP across 10 object classes — YOLO11m detection at 0.836 mAP50 and a fine-tuned SAM1 ViT-H segmenter at 0.804 mIoU — exported as GIS-ready GeoJSON.
Cut SAM1 ViT-H fine-tuning from 88 minutes to 5 per epoch on a single T4 GPU by pre-computing and caching image embeddings across 9,958 tiles.
Reached >99% recognition accuracy on Tifinagh script OCR across a 25,740-image dataset.
Where I have worked
Artificial Intelligence Engineer, Cheikh Zaïd Foundation (May 2026 – Present) — Production medical AI for Cheikh Zaid Hospital: a clinical RAG assistant and a chest X-ray triage pipeline.
Freelance AI Engineer — Satellite Computer Vision, GeoAP (Dec 2025 – May 2026) — Production MLOps pipeline detecting and segmenting agricultural and urban objects in satellite imagery, exported as GIS-ready GeoJSON.
Data Scientist, Attijariwafa Bank (Feb 2025 – Mar 2026) — Predictive financial models and internal AI tooling.
AI & Computer Vision Intern, Arteka (Aug 2024 – Sep 2024) — Computer vision for medical imaging diagnosis.
Education
Master's in AI & Virtual Reality, Ibn Tofail University (2023 – 2025)
Bachelor's in Computer Science, Ibn Tofail University (2019 – 2023)
Baccalaureate in Mathematical Sciences, Lycée Groupe Pédagogique Alpha (2019)
Languages
Arabic: Native
English: Fluent
French: Fluent
German: Beginner
Availability
Available for AI engineering and consulting work. Based in Rabat, Morocco (Africa/Casablanca).
Open to: Remote, Hybrid (Rabat / Casablanca), Contract, Full-time.