Summary
Omead Pooladzandi is a machine learning researcher-turned-founder with eight years of experience applying deep learning to signal processing, computer vision, and language tasks. A UCLA PhD and former Meta Research Scientist, he developed VAEs for speech resynthesis and advanced optimizers (PSGD LRA, XMat) that outperformed SOTA with minimal overhead. He’s translated research into industry impact at Meta and Neural Propulsion Systems and now co-leads Prism ML to bring cutting-edge algorithms to product. His background includes internships at JPL and a visiting research role at Caltech, reflecting a blend of aerospace-grade systems thinking and academic rigor. Known for publishing, patenting, and collaborating across research and engineering teams, he focuses on robust optimization and speech/audio problems. Based in Irvine, CA, he pairs deep theoretical expertise with a practical drive to ship deployable ML solutions.
8 years of coding experience
3 years of employment as a software developer
High school Diploma, High school Diploma at University High School
California Institute of Technology
University of California, Los Angeles
University of California, Irvine
English, Persian, Spanish