Serdar B.

Member Of Technical Staff @ Cerebras Systems

About Serdar B.

Serdar B. is a Member of Technical Staff at Cerebras Systems, with a background in graphics engineering and deep learning technologies. He has previously held positions at Intel Corporation and Qualcomm, and he holds a Master of Advanced Study in Data Science and Engineering from UC San Diego.

Current Role at Cerebras Systems

Serdar B. serves as a Member of Technical Staff at Cerebras Systems, a position he has held since 2018. He is based in the Greater San Diego Area. In this role, he contributes to the development and optimization of advanced computing technologies, focusing on enhancing performance and efficiency.

Previous Experience at Intel Corporation

Serdar B. has extensive experience at Intel Corporation, where he worked in various engineering roles. He was a Graphics Hardware Engineer - 3D/Video Design Engineer from 2012 to 2015, and a Graphics Front End Design Automation Engineer from 2015 to 2016. Additionally, he interned as a Component Design Engineer for seven months in 2011-2012, all based in Folsom, CA.

Experience at Qualcomm

From 2016 to 2018, Serdar B. worked as a Senior Software Engineer at Qualcomm. His focus was on deep learning and GPU technologies, where he applied his expertise to develop software solutions that leverage advanced processing capabilities.

Education and Expertise

Serdar B. holds a Master of Advanced Study in Data Science and Engineering from the UC San Diego Jacobs School of Engineering. He also earned a Bachelor of Science in Computer Science and Engineering from the University of California, Davis. His expertise includes a variety of programming languages and technologies such as OpenCL, Vulkan, DirectX, and deep learning frameworks like TensorFlow/Keras and Caffe/Caffe2.

Technical Skills and Specializations

Serdar B. possesses a diverse skill set in programming and software development. He specializes in deep learning frameworks and has experience in both Android and iOS development. His proficiency extends to languages and tools such as Java, Swift, Objective-C, and various neural network APIs, which support his work in developing advanced software solutions.

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