Tinou Bao

Staff Software Engineer, Machine Learning Platform @ Sift

About Tinou Bao

Tinou Bao is a Staff Software Engineer specializing in Machine Learning Platforms at Sift in San Francisco, where he has worked since 2021. He has extensive experience in software engineering and team management, having held various roles in notable companies since 2000.

Current Role at Sift

Tinou Bao serves as a Staff Software Engineer on the Machine Learning Platform at Sift, a role he has held since 2021. Based in San Francisco, he focuses on developing and enhancing machine learning solutions that contribute to building trust in internet platforms. His work involves leveraging his expertise in software architecture and engineering to create large-scale data applications.

Previous Experience

Before joining Sift, Tinou Bao worked at Evolv Technologies as a Software Engineer from 2018 to 2021. His career also includes significant roles at One Kings Lane as an Architect for Search and Personalization from 2011 to 2017, and at Alexa Internet as a Senior Software Engineer from 2006 to 2008. His earlier experience includes positions at Rearden Commerce, Novell, and Xuma, where he contributed to various software engineering projects.

Education and Expertise

Tinou Bao earned a Bachelor of Science degree in Nuclear Engineering from the University of California, Berkeley, completing his studies from 1994 to 1998. His educational background provides a strong foundation for his work in software engineering, particularly in areas related to data applications and machine learning.

Team Management and Contributions

In addition to his technical skills, Tinou Bao has experience in team management. He has held roles that emphasize collaboration and leadership within software engineering teams. His contributions focus on enhancing trust in internet platforms, aligning with his professional interests in building large-scale data applications.

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