Kamran Jafari
About Kamran Jafari
Kamran Jafari is a Principal Applied ML Scientist and Tech Lead Manager at Cerebras Systems, where he leads AI projects utilizing advanced AI technology. He has over 10 years of experience in the AI industry, specializing in deep neural networks for natural language processing and computer vision.
Work at Cerebras Systems
Kamran Jafari currently serves as Principal Applied ML Scientist and Tech Lead Manager at Cerebras Systems, a position he has held since 2022. In this role, he leads AI projects that leverage the capabilities of the world's largest and fastest AI chip. Prior to his current title, he worked as a Staff Applied Machine Learning Scientist at the same company from 2020 to 2022. His work focuses on advancing the application of deep learning technologies within the organization.
Education and Expertise
Kamran Jafari holds a Doctor of Philosophy (PhD) in Electrical, Electronics and Communications Engineering from the University of Toronto, where he studied from 2012 to 2017. He also earned a Master of Science (M.Sc.) and a Bachelor of Science (B.Sc.) in the same field from Shiraz University, completing his undergraduate studies from 2005 to 2009 and his master's from 2009 to 2012. His academic background supports his expertise in programming languages and frameworks, including Python, C, C++, TensorFlow, and PyTorch.
Background
Kamran Jafari has over 10 years of experience in the artificial intelligence industry, with a focus on deep neural networks for natural language processing and computer vision. His career began at Advanced Mobile Payment Inc. as an Embedded Software Engineer from 2013 to 2017. He then transitioned to Intel Corporation as a Deep Learning Software Engineer for one year before moving to Borealis AI as a Senior Machine Learning Developer from 2018 to 2020.
Achievements
During his tenure at Intel Corporation, Kamran Jafari contributed to the design and optimization of AI solutions for FPGAs. His work has been instrumental in advancing machine learning applications and enhancing the performance of AI systems. At Cerebras Systems, he continues to lead significant AI projects, showcasing his commitment to innovation in the field.