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Salma NabilSN
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Salma Nabil

@salmanabil

I craft NLP and conversational AI systems—architecting RAG and agentic LLM flows for accurate, human-centric enterprise experiences.

Egypt
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What I'm looking for

I’m looking to design and optimize enterprise conversational systems—building agentic AI with LLM fine-tuning, RAG, and strong evaluation—to deliver accurate, human-centric experiences with measurable user engagement.

I’m a dynamic NLP Engineer and Conversational AI Specialist who bridges advanced linguistics with scalable AI technology. I architect intuitive conversational flows, fine-tune Large Language Models (LLMs), and build Agentic AI frameworks that deliver context-aware, data-driven responses for enterprise users.

In my recent work, I’ve developed conversational architectures with LLM frameworks, optimized large-scale models to improve agent performance and retention, and implemented analytical-led refinements across high-traffic platforms. I also lead high-impact intent classification (≈90% accuracy) and design voice bot experiences combining STT and TTS—supported by my CDI certification and my training credentials as a designer and certified trainer in both Kore AI and Cognigy.AI.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Alexandria University logoAU

Alexandria University

Bachelor of Arts (Honors), Phonetics and Linguistics

Grade: GPA: 3.5; graduated top of class

Activities and societies: Graduation project: ArabSEA (Arabic Named Entity Recognition Python Library).

B.A. (Honors) in Phonetics and Linguistics with a focus on NLP and computational linguistics. Graduated top of class (GPA 3.5) and completed the ArabSEA graduation project, an Arabic NER Python library.

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