Amir Rahnama is a Senior Machine Learning Engineer based in Stockholm with 12 years of experience bridging research and production in AI and data-driven products. He holds a PhD in Machine Learning from KTH where he focused on eXplainable AI, and has translated that research into deployed systems at Spotify and Capgemini, including a search model used by millions daily and fraud-detection pipelines. Comfortable across the ML lifecycle, he has a track record shipping end-to-end solutions—model development, explainability, and scalable deployment—in both consultancy and product teams. Early roles in backend and data-pipeline engineering give him practical fluency with APIs, NoSQL, and containerized CI/CD, enabling smooth handoffs from prototype to production. Colleagues describe him as a pragmatic scientist who prioritizes interpretable, auditable models that solve real business problems.
12 years of coding experience
12 years of employment as a software developer
Exchange Studies, Information Technology, Exchange Studies, Information Technology at Stockholm University
Bachelor's Degree, Applied Mathematics, Bachelor's Degree, Applied Mathematics at Kharazmi University
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at KTH Royal Institute of Technology
Master's degree, Mobile Technology, Master's degree, Mobile Technology at University Of Jyväskylä
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