نبذة عني
I am an AI and Machine Learning Engineer based in Amman, Jordan. I studied Computer Science / Artificial Intelligence at Middle East University (BS, 2024–2026), after an HND in Artificial Intelligence from Luminus Techni…
I am an AI and Machine Learning Engineer based in Amman, Jordan. I studied Computer Science / Artificial Intelligence at Middle East University (BS, 2024–2026), after an HND in Artificial Intelligence from Luminus Technical University College (ASAC). I enjoy building AI systems that solve real problems and work well in real use.
During my internship on the AI team at Unlimited Innovation, I rebuilt the pipeline that classifies the sensitivity of database columns for Data Beacon, a data-governance project. I replaced a slow zero-shot model with a fine-tuned SetFit (MiniLM) model and a TF-IDF + linear SVM model. Processing time for 75,000 columns dropped from 40 hours to 15 minutes, about 160 times faster. The new pipeline predicts both the data category (7 classes) and the access level (6 levels), and it reached 85% category accuracy and 76% access-level accuracy on 370 hand-written test columns. I also benchmarked 11 embedding models for accuracy and speed, and I worked with FastAPI, PostgreSQL and Docker in a production team.
I also enjoy building AI for Arabic speakers and students. In a team of three, I helped build VoicePay, a voice-controlled Arabic banking assistant with voice authentication, a five-stage speech and NLP pipeline, FastAPI and Flutter. We entered it in the 5th edition of the Crown Prince Award for Best Government Service Application. I also built CareerCompass, a platform that maps transcripts and syllabi to student skills and finds gaps against hiring demand, using 2,238 job postings across 9 career paths, ESCO-based matching and LLM validation.
My main tools are Python, PyTorch, TensorFlow, scikit-learn, Transformers, spaCy and OpenCV, plus SQL, Git, Docker and Linux. I am a native Arabic speaker with professional working English. I keep learning, and I am looking for a role where I can build useful AI products with a strong team and make a positive impact.
الخبرة
AI Engineer Intern (Field Training)
<p>Rebuilt the AI pipeline that classifies the sensitivity of database columns for the Data Beacon data-governance project, replacing a slow zero-shot model with a lightweight fine-tuned SetFit (MiniLM) model and a TF-IDF + linear SVM model.</p><p> Cut processing time on the production server from 40 hours to 15 minutes for 75,000 columns (160× faster), while adding a second prediction: the new pipeline predicts both the data category (7 classes) and the access level (6 levels), where the old model predicted only the access level.</p><p> Reached 85% category accuracy and 76% access-level accuracy on 370 hand-written test columns, with only 3.5% of levels predicted too low; benchmarked 11 embedding models for accuracy vs. speed.</p><p> Worked with FastAPI, PostgreSQL and Docker in a production team.</p>
Field Training Intern
<p>Gained foundational experience in Java, OOP, and MySQL through weekly programming and problem-solving tasks.</p>
المشاريع
CareerCompass – Student Skill-Gap Engine
<p>I built CareerCompass, a career-readiness platform that shows students how ready they are for the job market.</p><p></p><p>Maps university transcripts and course syllabi to the skills each student has.</p><p>Compares those skills with hiring demand from 2,238 job postings across 9 career paths, and shows each student’s skill gaps.</p><p>Matches skills with ESCO, the European standard list of skills and jobs, and uses an LLM to check the matches.</p><p>Built the system with a Spring Boot and FastAPI backend and a React frontend.</p><p>Tools: Python, Java (Spring Boot), FastAPI, React, ESCO, LLMs.</p>