HAKAM GHANIM
I am an AI-focused content specialist and bilingual linguist with LLM evaluation and prompt engineering experience, delivering and QA’ing high-stakes content in regulated contexts.
About
I am an AI-focused content specialist and bilingual linguist with LLM evaluation and prompt engineering experience, delivering and QA’ing high-stakes content in regulated contexts. I design machine-readable, citation-friendly content (FAQs, concise answer blocks, structured outlines) and improve reliability through test-case design, A/B prompt testing, and rigorous editorial standards. I communicate clearly and move quickly in deadline-driven workflows.
I focus on privacy, accuracy, and evidence-based writing across healthcare interpreting, government translation, and peer-reviewed scientific publishing. I collaborate with interdisciplinary teams to standardize output quality, reduce rework, and create practical content frameworks that are easy to extract and audit, while upholding rigorous standards for readability and accessibility.
- 7 years' experience
- Joined January 2026
Skills· 1
Languages
- ArabicFluent
- EnglishFluent
Industry experience
- Healthcare
- Government
- Education
- Professional Services
- Life Sciences
More experts in Ottawa, Canada
Work experience· 7 roles
Deliver medical interpreting across varied care contexts (appointments, follow-ups, patient education), ensuring clarity and minimizing risk from miscommunication.
Interpret in clinical encounters, supporting accurate transfer of patient history, symptoms, procedures, medication instructions, and discharge guidance. Operate in high-stakes, privacy-sensitive environments with strict professionalism, neutrality, and documentation discipline.
A/B tested 50+ prompt variants for document summarization and quality control, reducing hallucination patterns by ~35%. Authored a best-practices prompt guide adopted by interdisciplinary teams to standardize output quality and reduce rework. Designed structured question sets and “failure-mode” checks to evaluate factual accuracy, coherence, and compliance with formatting constraints. Produced reproducible error traces and actionable feedback to improve model behavior (consistency, completeness, and citation-friendly formatting).
Education
Certifications and awards
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