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Vojtěch Šmíd is a distinguished Staff Software Engineer at Google, based in Prague, Czech Republic. He is a prominent figure in the machine learning community, particularly recognized for his substantial contributions to the TensorFlow and Keras ecosystems. His expertise lies in developing and optimizing deep learning frameworks, making complex AI tools more accessible and efficient for developers and researchers worldwide. Vojtěch is passionate about advancing the frontiers of artificial intelligence and often shares his insights through technical contributions and community engagement. His work focuses on the core development of ML tools, performance enhancements, and building robust APIs.
Vojtěch Šmíd's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Made significant contributions to the development, architecture, and API design of TensorFlow, Google's open-source machine learning platform, and Keras, its user-friendly high-level API. His work has helped shape these tools into industry-standard frameworks.
Achieved the senior role of Staff Software Engineer at Google, a testament to his technical expertise, leadership, and impact on critical projects within Google's AI division.
Consistently worked on improving the performance, usability, and feature set of machine learning tools, thereby empowering a global community of AI practitioners.
Actively contributes to open-source projects, fostering collaboration and knowledge sharing within the global software development and machine learning communities.
Masaryk University, Faculty of Economics and Administration - Year 2012
Masaryk University, Faculty of Social Studies - Year 2011
Masaryk University, Faculty of Social Studies - Year 2009
Gymnázium Fr. Procházky - Year 2006
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