Arman Malekzadeh is a data scientist with nine years of experience blending academic rigor and hands-on NLP/ML engineering, currently pursuing a PhD in Artificial Intelligence at Sharif University of Technology. He has lectured and led courses in machine learning and Python, served as head teaching assistant for advanced ML classes, and contributed research implementing Persian-language BERT models and a Wav2Vec-based speech recognition system for telecom applications. His background spans strong academic performance (top grades across BSc, MSc, and PhD studies), international exposure as an exchange student at Politecnico di Torino, and long-term mentorship roles teaching NLP, social media computing, and graph theory. Comfortable at the intersection of research and deployment, he focuses on translating language models into customer-facing solutions—an attribute reflected by his practical work customizing models for Persian and telecom use cases.
9 years of coding experience
2 years of employment as a software developer
Middle and High School, Mathematics, Middle and High School, Mathematics at National Organization for Development of Exceptional Talents (Sampad)
Amirkabir University of Technology
Doctor of Philosophy - PhD, Artificial Intelligence, 18.40/20.00 (4.0/4.0), Doctor of Philosophy - PhD, Artificial Intelligence, 18.40/20.00 (4.0/4.0) at Sharif University of Technology
Contributions:46 commits, 14 pushes, 1 branch in 20 days
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