Abdulrahman Kamar is a Senior AI/ML Engineer with eight years of experience building production-grade NLP and LLM systems across e-commerce and Islamic advisory platforms. He designs and deploys retrieval-augmented generation pipelines, multilingual product generators, and multimodal transcription systems that have measurably scaled operations—e.g., a Help Center LLM handling 20% of merchant interactions for 60K+ users and a fatwa translation/assistant that tripled daily throughput. Comfortable across the MLOps stack, he combines LangChain/LangGraph-based orchestration with vector databases (FAISS, Pinecone, Chroma), FastAPI-based services, and Airflow/N8N automation to deliver reliable, cost-efficient solutions. His academic background in computational linguistics and a research publication at ACL SemEval underline a strong grounding in Arabic NLP, while his hands-on work shows a knack for pragmatic engineering trade-offs and multilingual problem-solving.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree computer scince, Bachelor's degree computer scince at The Open University
Master's degree Computational Linguistics-NLP, Master's degree Computational Linguistics-NLP at Helwan University Cairo
Contributions:12 commits, 10 pushes, 2 branches in 9 months
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