Amir Soleimani is a Senior NLP Engineer based in Amsterdam with a PhD in NLP from the University of Amsterdam and over a decade of experience in machine learning and deep learning. He specializes in building production-grade RAG pipelines, factuality evaluation, and legal-domain question answering, having engineered dense retrievers, hallucination detection, and token-cost optimizations for multi-million document corpora. His research background produced novel evaluation metrics for long QA and summarization and resulted in 10 publications and supervision of eight students, bridging academic rigor with product impact. At Sdu he improved retrieval and re-ranking speed and storage efficiency using half-precision and binary indexing, and he routinely leverages multilingual and instruction-tuned LLMs in practice. Known for generating synthetic training data and pragmatic prompt engineering, he combines a researcher’s curiosity with hands-on deployment experience across industry and labs.
8 years of coding experience
18 years of employment as a software developer
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Azad University (IAU)
Bachelor of Science (BS), Computer Software Engineering, Bachelor of Science (BS), Computer Software Engineering at Allameh Mohaddes Nouri
Contributions:16 commits, 14 pushes, 1 branch in 4 months
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