Summary
Mohsen Jafarzadeh is a Senior Data Scientist with eight years of experience applying statistical modeling, deep learning, and transformer-based LLMs to real-world problems across retail, telecom, and research. He holds a PhD in Electrical Engineering and has driven production-ready solutions—from visual search and recommendation systems at Michaels to RAG and multi-agent agentic AI proofs-of-concept for enterprise clients. His research background in open-world novelty detection and extreme value theory informs robust model design and anomaly-aware deployment strategies that reduce failure modes in production. Based in the Dallas–Fort Worth area, Mohsen blends rigorous academic training with hands-on engineering, technical communication, and documentation, making complex models accessible to stakeholders. Notably, he has bridged cutting-edge research and business impact by translating novel statistical techniques into tangible improvements in model relevance and support resolution time.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD) Electrical Engineering, Doctor of Philosophy (PhD) Electrical Engineering at The University of Texas at Dallas
Bachelor of Science - BS Robotics Engineering, Bachelor of Science - BS Robotics Engineering at Shahrood University of Technology
Master of Science - MS Electrical Engineering, Master of Science - MS Electrical Engineering at University of California, Riverside
Master of Science - MS Mechatronics Engineering, Master of Science - MS Mechatronics Engineering at University of Tehran