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Abir KorchedAK
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Abir Korched

@abirkorched

NLP / LLM Research Engineer building Arabic AI at Mozn and Zinki.AI, including a citation-verification system with 86.66% accuracy.

Tunisia
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At Mozn, I developed a multilingual, multi-task embedding model for enterprise retrieval that outperformed Qwen3-Embedding and BGE-M3 across most internal and public benchmarks. I also built synthetic-data pipelines and extended embedding-serving infrastructure for multiple models.

At Zinki.AI, I developed production document-understanding and Arabic OCR models, and built the end-to-end semantic search and RAG pipeline for SEBR. Independently, I co-developed Makeen for Arabic function calling and developed SanadAI for Islamic citation verification; both were presented in accepted ArabicNLP 2026 system-description papers.

Experience

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Education

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National School of Computer Science (ENSI) logoNE

National School of Computer Science (ENSI)

Engineering Degree, Computer Science

2017 - 2020

Grade: Honors

Engineering Degree in Computer Science with MSc equivalence, specializing in Big Data, Machine Learning, Software Engineering, and Applied Mathematics. Graduated with Honors.

IP

IPEIN

Preparatory Cycle, Mathematics & Physics

2015 - 2017

Preparatory Cycle in Mathematics & Physics. Ranked 273rd among over 1,200 candidates in Tunisia's national engineering entrance examination.

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