Peter Danenberg

Title: Software Engineer
Company: Google LLC
Location: Palo Alto, Califonia, United States

Peter Danenberg, software engineer at Google LLC, has been recognized by Marquis Who’s Who Top Engineers for dedication, achievements, and leadership in software engineering.

Mr. Danenberg has carved out a distinguished career in software engineering, currently excelling as a senior software engineer at Google LLC since 2021 and a software engineer from 2016 to 2021. In this role, he works on Google’s artificial intelligence project, Gemini, with his primary responsibility being to reach out to users. In addition, he conducts weekly workshops at Google, which attract around 300 attendees. Prior to this, he worked in data infrastructure from 2013 to 2016 and as a senior data developer with True Car Inc. from 2013 to 2014. From 2011 to 2014, he co-founded Brick Locust LLC and a software developer with the CK-12 Foundation from 2012 to 2013. 

Prior to this, Mr. Danenberg was the director of new application development at Caris Life Sciences in 2012, a software engineer with Factual Inc. from 2011-2012, a contractor at Genentech in 2011, and a senior software architect at Response Genetics from 2010 to 2011. Additionally, he was a contractor at Novartis in 2010, a programmer at the CK-12 Foundation from 2009 to 2010, a contractor with Response Genetics from 2007 to 2009, and Google in 2008, as well as a research assistant at the Information Sciences Institute from 2005 to 2008, and a developer at Wikimedia Foundation from 2003 to 2005. 

Mr. Danenberg has contributed to various technical and educational initiatives. Since 2023, he has organized the Gemini Meetup and Talks, including “Fifty Shades of Gemini,” “Day-Trading with Gemini,” “Play with Gemma,” and “Coding with Gemini.” In 2024, he presented “Function Calling with Gemini” at GDG Silicon Valley and “Learning with Gemini” at MIT’s Imagination in Action event. His other notable talks include “Prompt Engineering with Bard” at GDG Silicon Valley, GDG Santa Clara, and GDG San Jose in 2023. Earlier in his career, he contributed to the Computer Science Reading Group from 2012 to 2017 and participated in Roxygen from 2008 to 2010. He has also authored and presented several publications, including “Single Parameter Driven Tunable Resource Allocation for Machine Learning Tasks,” published in Technical Disclosure Commons. “A web tool for model-based decision support” was presented at INFORMS in 2014, and “Data-driven Coherence Models” at the 19th Conference on Behavior Representation in Modeling and Simulation in 2010. 

Laying a solid foundation for his future success, Mr. Danenberg pursued an education at the University of Cambridge, completing coursework in philosophy in 1997. He continued his academic efforts with coursework in classics at the International Center for Hellenic and Mediterranean Studies in 1998 and earned a bachelor’s degree in classics, philosophy, piano, and German from the University of Southern California in 2000. He also studied philosophy at Humboldt-Universität zu Berlin and the University of Freiburg from 2000 to 2004. Additionally, he completed a master’s degree in computer science at the University of Southern California in 2004 and a research fellowship in comparative literature at Harvard University from 2000 to 2002.

Mr. Danenberg attributes his success to his unique ability to bridge the communication gap between engineers and non-engineers within Google. He notes the development and launch of Google Bard and Google Gemini, while challenging, as the most rewarding tasks of his career so far. Looking ahead, he aspires to gain independence and establish his own company, inspired by his mother, a successful entrepreneur who has led several biotech startups. 

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