Engineer & Researcher — Computer Vision · Deep Learning · Document AI
Engineering Degree + Master's, Artificial Intelligence & Data Science — École Supérieure en Informatique (ESI), Sidi Bel Abbès, Algeria (Jul 2026).
Open to PhD positions and permanent (CDI) roles, in computer vision, document AI, and applied deep learning.
| Paper | Status | Draft |
|---|---|---|
| AraMS-28k — The Largest Publicly Released Line-Level Dataset of Historical Arabic Manuscripts, with Margin and Insertion-Anchor Annotations | arXiv submission in progress | Request draft |
| RefLAM — A Reference-Grounded Line Annotation Pipeline for Historical Arabic Manuscripts | arXiv submission in progress | Request draft |
(Both papers are currently in preparation with co-authors. Drafts are available directly — see links above or contact me — while the arXiv submission is finalized.)
multimodal LLMs OCR alignment weak supervision document layout analysis
Built a reference-grounded annotation pipeline (RefLAM) that aligns multimodal-LLM OCR against independently sourced clean transcriptions, and used it to construct AraMS-28k — the largest publicly released line-level dataset of genuine historical Arabic manuscripts (14 books, 3,043 pages, 28,600 lines, three script traditions). Introduced the first publicly released line-level insertion-anchor annotation, recovering non-linear main/margin reading order. Proved a formal correctness guarantee (the Confidence-100 rule) achieving a 75× annotation throughput gain over manual review, with zero errors found on independent audit. 📦 Repository · 📄 See Publications above
PyTorch Transformers OpenCV video understanding
Led a 5-person team extending the TEVAD baseline for video anomaly detection through architectural refinements and improved multi-modal fusion, evaluated on UCF-Crime subsets. 📦 Repository · 📊 AUC 98.6% → 99.2%, 11× faster convergence · 📄 Technical report
GPT FastAPI React NL-to-SQL
Built a natural-language interface for querying structured datasets conversationally, via a multi-stage pipeline (intent classification → SQL generation → validation → interpretation), with automated data profiling to flag anomalies and inconsistent distributions. 🔗 Live system · 📊 Validated on 100+ real-world datasets
PyTorch ResNet MobileNet transfer learning
Classified COVID-19, pneumonia, and normal chest X-rays using transfer learning with data augmentation and class balancing, deployed as an interactive demo. 🔗 Live demo · 📦 Repository · 📊 F1 0.93, ROC-AUC 90.22%
Document & Image Analysis: Handwritten Text Recognition (HTR) · OCR-reference alignment · layout analysis · image restoration · Kraken · HATFormer Deep Learning & Computer Vision: PyTorch · TensorFlow · OpenCV · Vision Transformers · Multimodal LLMs · generative models NLP: Transformers · BERT variants · CLIP · GPT models · Hugging Face ecosystem Engineering: Python · SQL · Git · Docker · Linux · Weights & Biases Languages: Arabic (Native) · French (B2) · English (Professional)
📫 Reach out about research collaboration, PhD opportunities, or roles in document AI / computer vision.


