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Simon Pompan is a distinguished Principal Engineer at Google, based in New York, with approximately 16 years of extensive experience in software engineering and technology leadership. He currently leads teams focused on building cutting-edge AI/ML infrastructure and models. Prior to his impactful work at Google, Simon honed his expertise in the finance sector at Morgan Stanley, where he contributed to low-latency trading systems and risk management platforms. His career demonstrates a strong trajectory in tackling complex technical challenges and delivering innovative solutions in both AI/ML and high-frequency trading environments.
Simon Pompan's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
As a Principal Engineer, Simon leads teams in the development and implementation of critical AI/ML infrastructure and models, driving innovation within Google's AI capabilities.
Co-authored and contributed to TensorFlow Similarity, an open-source TensorFlow library designed for deep metric learning, enabling users to train and evaluate models that learn to distinguish between similar and dissimilar items.
During his tenure at Morgan Stanley, Simon played a significant role in engineering and enhancing low-latency trading systems and robust risk management platforms for the financial markets.
Achieved the role of Principal Engineer at Google, a testament to his technical expertise, leadership, and significant contributions to the company's engineering efforts.
Vanderbilt University
University of Richmond
Harvard-Westlake School
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