Profile

Computer Science graduate from the University of Mosul with two years of full-stack engineering experience and a publication track record in applied NLP for low-resource Arabic. Applying to master's programs in Computer Science with a research focus on Arabic language models and machine learning systems.

Education

B.Sc. in Computer Science
2020 — 2024
University of Mosul · GPA 3.85 / 4.0 (Top 5%)
  • Senior project: Cross-dialect Arabic named entity recognition — published at ACL 2024 Student Research Workshop
  • Recipient of the College of Computer Science Dean's Award (2023, 2024)

Experience

Software Engineer
Aug 2024 — Present
Sanad Tech · Erbil, Iraq
  • Built an Arabic document understanding pipeline serving 12,000 documents per day with 94% extraction accuracy
  • Reduced inference latency by 38% by quantizing a fine-tuned XLM-R model and switching to ONNX runtime
Research Intern — NLP Lab
Jun 2023 — Aug 2023
American University of Beirut · Remote
  • Contributed annotation tooling and baseline models to an Arabic dialect identification benchmark

Selected Projects

arabic-ner-toolkit
Open source · 320 stars
Python · PyTorch · Hugging Face
  • End-to-end NER toolkit for Modern Standard Arabic and Iraqi dialect, used in two published papers

Technical Skills

Python & PyTorch
TypeScript & React
NLP / Transformers
AWS / Docker
SQL / PostgreSQL

Languages & Awards

Arabic Native
English IELTS 8.0
Turkish Intermediate
Dean's Award · University of Mosul, 2023 & 2024
ACL SRW Travel Grant · 2024
Iraqi National Olympiad in Informatics · Silver, 2019

Keywords

Arabic NLP Transformers Low-resource MT Information Extraction MLOps Distributed Training