Summary
Farzad Abdolhosseini is a machine learning engineer and founding technologist with a decade of experience building production ML systems and startups from idea to deployment. He has led ML work at Apple and co-founded Fixie.ai and ElastixAI, applying reinforcement learning, neural architecture search, and latency-aware model design to real-world products. Comfortable across research and engineering, he has shipped end-to-end applications like MTA, Bluebook, and Arzesh and previously built edge computer vision solutions at Xnor.ai. Based in Seattle with an MS from UBC and a strong algorithms background from Sharif University, he blends academic rigor with hands-on product delivery—and once served on the Host Technical Committee for IOI 2017, highlighting his competitive programming roots.
10 years of coding experience
6 years of employment as a software developer
Allameh Helli school
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at The University of British Columbia
Bachelor of Applied Science (BASc), Computer Software Engineering, Bachelor of Applied Science (BASc), Computer Software Engineering at Sharif University of Technology
English, Persian