Ezzaldeen Hamdan

9XAI Fellow (Lighthouse Cohort)

Al Hussein Technical University

Feb 2026 – Present

Project Management

Selected as 1 of 20 fellows for the inaugural national AI initiative, following a competitive, multi-stage evaluation process. The initiative, which is being hosted by Al Hussein Technical University (HTU) and National Council for Future Technology (NCFT), focuses on developing and validating AI solutions across Jordan's institutional and governmental partners while tackling nationwide challenges.

Junior Artificial Intelligence Engineer

z28.ai

Feb 2026

BigQuery NumPY Pandas ML Feature Engineering Data Quality

• Engineered memory-efficient ETL pipelines with Pandas and BigQuery, processing multi-GB datasets (1M+ records).
• Built engine to extract thousands of attributes from unstructured HTML blob in database column.
• Implemented automated data quality profiling with null-rate and distribution statistics calculation.
• Designed snapshot modeling pipeline for borrower, loan, payment, and call-history training features.
• Conducted segment-level lift analysis to quantify repayment probability uplift across behavioral cohorts.
• Implemented LightGBM with class imbalance calibration and feature auditing, achieving 0.91 AUC.
• Developed ML interpretability pipeline to bridge high-performing models and stakeholder trust.

Artificial Intelligence Engineer

Altibbi

Sep 2025 – Jan 2026

NLP LLM RAG MLOps Docker

• Built ETL pipeline for 10+ MySQL tables with data cleaning, content consolidation, and resumable processing.
• Created embedding workflow with batching, hashing, caching, and storage of 100k+ vectors in ChromaDB.
• Reduced detection from 3 hours to 15 minutes by building rapid engine with cosine similarity and star clustering.
• Added safeguards, read-only DB access, metadata handling, Streamlit UI, and config-based automated runs.
• Built web-scraping pipeline to collect and chunk 15,000+ Altibbi news and articles with fault tolerance.
• Designed and deployed embedding pipeline storing vectors in both Milvus and Qdrant for semantic search.
• Implemented 3-layer RAG stack (classification, refinement, retrieval) with OpenAI models and source citation.
• Set up CI/CD with Jenkins and Bitbucket, integrating Docker-based builds to streamline deployment.

Rotational Intern

Islamic International Arab Bank

Aug 2024 – Sep 2024

Oracle SDLC Database Admin Security

• Assisted in Oracle 21c installation, learned Oracle RAC, and managed backups, LTO tapes, and card issuance.
• Gained experience in SDLC, database administration, and middleware integration across APIs and mobile platforms.
• Collaborated with Quality Control on testing, iMAL, and security frameworks like ArcSight and intrusion prevention.