PHD Student at WASP – Wallenberg AI, Autonomous Systems and Software Program
Gothenburg, Sweden
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Summary
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Senior
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Top School
Mehrdad Farahani is a PhD student at Chalmers and a researcher-engineer with a decade of experience building and deploying deep learning and NLP systems. His work spans academic research within WASP and hands-on engineering—leading the first monolingual pre-trained Persian language model and shipping production microservices for text classification, summarization, and semantic search. He combines a physics background with an MSc in AI to approach problems analytically, and has coached students and run workshops to grow local ML talent. Based in Gothenburg, he bridges state-of-the-art research and practical ML pipelines (TFx, Docker), and quietly prioritizes accessible AI education by producing Persian-language learning materials.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Science (BSc), Physics - Solid Sate, Bachelor of Science (BSc), Physics - Solid Sate at Kharazmi University
Master of Science (MSc), Computer Engineering / Artificial Intelligence, Master of Science (MSc), Computer Engineering / Artificial Intelligence at Islamic Azad University
Doctor of Philosophy - PhD, Computer Science and Engineering, Doctor of Philosophy - PhD, Computer Science and Engineering at Chalmers University of Technology
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