Summary
Mohammad Farhadi is an Applied Science Manager and entrepreneur in Tempe, Arizona with eight years of experience bridging academic research and production AI systems. He leads end-to-end computer vision and LLM+RAG projects at RadiusAI—building multi-view people tracking, action recognition, large-scale (20K+ class) classifiers, and optimized Triton inference pipelines for calibrated multi-camera deployments. A PhD candidate in Computer Engineering at Arizona State University and adjunct professor, he brings deep hands-on expertise from embedded CNNs and FPGA acceleration to scalable inference and automated DB querying. He also co-founded ARGOS Vision, reflecting a practical focus on commercializing vision research, and has a background in network security and cloud risk assessment that informs robust, deployment-ready design.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Computer Engineering, Doctor of Philosophy - PhD Computer Engineering at Arizona State University
Master’s Degree Information Technology, Master’s Degree Information Technology at University of Tehran
English, Persian