Scientific R&D AI Development Lead at Multiple Academic Journals
Old Toronto, Ontario, Canada
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Amirmohammad Kazemeini is a Scientific R&D AI Development Lead at Sanofi with a decade of experience building and scaling applied ML and NLP systems for healthcare and industry. With a Master's in AI from Western University and a background bridging software engineering and research, he has led large multi-organization initiatives at the Vector Institute—designing agentic AI, RAG pipelines, fine-tuning and alignment programs, and causal inference projects. A frequent peer reviewer for high-impact journals (IEEE, Elsevier, Frontiers) and an author of conference publications, he combines rigorous research judgment with hands-on proficiency in Python, Java, and Scala (Spark). He has collaborated with top academic groups (UCL, Stanford, NTU) on Theory of Mind and responsible-AI projects, and repeatedly translated prototype research into production-ready tools for SMEs and startups. Colleagues recognize him for orchestrating complex, cross-functional teams (up to 122 practitioners) and for an uncommon ability to fuse psychological insight with scalable ML solutions.
10 years of coding experience
6 years of employment as a software developer
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Western University
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Iran University of Science and Technology
Contributions:31 pushes, 2 branches in 1 year 11 months
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Amirmohammad Kazemeini - Scientific R&D AI Development Lead at Multiple Academic Journals