Summary
Mohammad Ebrahimpour is an AI/ML Scientist at Apple with eight years of experience building production-ready deep learning systems across computer vision, speech/audio, generative AI, and multi-modal 3D scene understanding. He holds a Ph.D. in Computer Science from UC Merced and has a strong research footprint with numerous peer-reviewed publications and patents bridging academic rigor and industry impact. At Ericsson he led scalable, multi-language voice conversion and talking-avatar projects that shipped models supporting 100–130 languages and shortened deployment timelines from months to under a week. His background spans metric learning for efficient image retrieval, end-to-end auditory recognition on low-power chips, and novel syncing and GAN-based dubbing for video, reflecting both theoretical depth and systems engineering. Known for converting research prototypes into deployable services, he blends expertise in LLMs, 3D vision, and speech with practical optimization and cross-team delivery. Based in California, he combines academic curiosity with a proven track record of moving complex multimodal AI from lab to product.
8 years of coding experience
7 years of employment as a software developer
Master of Science (M.Sc.), Artificial Intelligence, Master of Science (M.Sc.), Artificial Intelligence at Shahid Bahonar University of Kerman
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of California, Merced
English, Persian