Mikhail Gudim
About Mikhail Gudim
Mikhail Gudim is a Compiler Engineer with extensive experience in deep learning and scientific programming. He holds a Master's degree and a PhD in Mathematics from the University of Toronto and has worked for notable companies including Huawei Technologies and Cerebras Systems.
Work at Cerebras Systems
Mikhail Gudim has been employed at Cerebras Systems as a Compiler Engineer since 2020. His role involves developing and optimizing compilers for the company's advanced hardware solutions. Based in Toronto, Ontario, Canada, he contributes to the efficiency and performance of software applications that leverage Cerebras' technology.
Education and Expertise
Mikhail Gudim holds multiple degrees from the University of Toronto. He earned a Bachelor's degree in Mathematics from 2005 to 2009, followed by a Master's degree in Mathematics from 2009 to 2010. He further advanced his studies and completed a Doctor of Philosophy (PhD) in Mathematics from 2010 to 2015. His academic background provides a strong foundation for his work in compiler engineering and deep learning.
Background
Mikhail Gudim has a diverse professional background in engineering and academia. He began his career as a Lecturer and Teaching Assistant at the University of Toronto, where he worked from 2007 to 2015. He transitioned to industry roles, including positions at Huawei Technologies as a Deep Learning Engineer and Compiler Engineer, and as a Big Data Engineer at Eyereturn. His experience spans both educational and technical environments.
Previous Work Experience
Prior to his current role at Cerebras Systems, Mikhail Gudim worked at Huawei Technologies in various capacities. He served as a Deep Learning Engineer from 2016 to 2018 and later as a Compiler Engineer from 2018 to 2020, both based in Markham, Ontario. Additionally, he briefly worked as a Scientific Programmer at the University of Toronto in 2015 and as a Big Data Engineer at Eyereturn in 2016.