Peyman Rasouli is a Senior Data Scientist based in Oslo with a PhD in Explainable AI and six years of industry experience bridging research and product teams. He has moved from academic roles and lecturing into applied data science, completing an industrial PhD fellowship and delivering production models at consultancies and biotech (Sopra Steria, NEC OncoImmunity). His work emphasizes XAI—making complex models interpretable for stakeholders—which complements his full-stack data science skillset developed over 14 years of formal software education. Peyman has a strong academic record in AI (MSc 3.81/4.0) and a track record of translating research prototypes into deployable solutions. Colleagues describe him as equally comfortable in code, model evaluation, and stakeholder communication, often surfacing non-obvious failure modes early in projects. He brings a research-first mindset to industry problems, helping teams adopt robust, explainable ML in regulated domains.
6 years of coding experience
2 years of employment as a software developer
University of Oslo
Master's degree, Computer Engineering - Artificial Intelligence, 3.81 (out of 4.0), Master's degree, Computer Engineering - Artificial Intelligence, 3.81 (out of 4.0) at Qazvin Islamic Azad University
Bachelor's degree, Computer Software Technology Engineering, 3.31 (out of 4.0), Bachelor's degree, Computer Software Technology Engineering, 3.31 (out of 4.0) at Islamic Azad University
Associate's degree, Computer - Software Engineering, 3.37 (out of 4.0), Associate's degree, Computer - Software Engineering, 3.37 (out of 4.0) at Technical and Vocational University
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