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Abdallah Al-Zubi
Senior Machine Learning Engineer specializing in NLP, computer vision, and edge AI
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About
AI/LLM engineer who built a production RAG-based Text2SQL engine using Qdrant, including creating the underlying business/DB documentation, generating a test dataset, and designing detailed SQL-quality metrics for validation. Also partnered with non-technical stakeholders on a speech recognition project to prioritize medical terminology, improving accuracy through targeted corpora, lookup-table correction, and fine-tuning with a modified loss function.
Experience
Education
Key Strengths
- Built and deployed a production RAG Text2SQL system end-to-end (doc engineering → vector DB → evaluation → tuning → batch production)
- Strong evaluation rigor for Text2SQL with multi-factor SQL correctness metrics beyond exact match
- Creates automated test harnesses for AI workflows using pytest and defined expected outputs/metrics
- Effective at extracting and structuring business/domain knowledge into retrievable documentation for RAG
- Collaborates with non-technical stakeholders to prioritize domain-specific quality (e.g., medical terms) and drive targeted ASR improvements
- Improved speech recognition performance via medical-term corpora, lookup-based correction, and loss-function adjustments
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