George Gekov
Staff Ml Engineer @Arm
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WORK HISTORY
Staff Ml Engineer @Arm
Cambridge, GB
Part of the ExecuTorch team - PyTorch native framework for compilation & inference of neural networks on low-power SoCs. Particular emphasis on enabling Arm-based NPUs work efficiently in ExecuTorch.
EDUCATION
Pierre and Marie Curie University
Master’s Degree, Electronics and Computer Sciences - Embedded Systems
Lycée Pierre De Fermat
Mathematics and Physics
Cambridge Judge Business School
Master's degree, Entrepreneurship/Entrepreneurial Studies
Lycée Louis-le-Grand
Mathematics, Physics and General Engineering
High School of Mathematcis 'Dr Petar Beron', Varna, Bulgaria
High School, Mathematics and Computer Science
ABOUT GEORGE GEKOV
I\'ve been fortunate to work at the cutting edge of IoT & ML technology for the past 5+ years. Currently, I am responsible for helping Arm partners run their ML workloads on Arm processors and ML co-processors. The role involves frequent contact with partners to determine where the issues are lying and understand how to add value and help reach the desired outcome efficiently. Prior to that, I was creating example software applications with neural networks for low-power devices.When I was part of Arm\'s IoT team, I created technical demonstrations of our latest IoT products and presented them industry tradeshows such as Mobile World Congress, Hannover Messe, Embedded World and others. Key skills: Running ML algorithms on Arm processors. Customer engineering. Ability to translate product requirements into an engineering roadmap. Speaks foreign languages. Excellent communicator.
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