About Zillabyte
We’re on a mission to make data analysis easy and intuitive.
Data is an increasingly important part of our lives, yet accessing and making use of that data remains a serious challenge. Zillabyte’s founding goal is to reduce those barriers and help our customers gain value from the world of data.
The Zillabyte story began in the spring of 2011. Jake and Tyler, coworkers from Google, lamented that many of Google’s internal data-processing tools were not available outside the Googleplex. After sharing this insight with Peter, a friend from the machine learning community, we realized that data processing in general is much more complicated than it needs to be. We formed Zillabyte with a mission to turn the tide and make data analysis accessible to everyone.
The Team
Jake Quist
Chief Executive Officer / Co-Founder
Jake is a software engineer by training and an evangelist by nature. As Tech Lead of iGoogle USA and iGoogle Japan, Jake was nominated and awarded the prestigious EMG Award as well as the "Most Googley Person Award". Jake began his career in high performance computing as a team leader in the DARPA Urban Challenge, making vehicles drive autonomously. He holds a BS and MS in Computer Science from the University of Utah. Jake has run 12 marathons, 2 ironmans, and has a knack for getting people to join his crazy adventures. He has been working with start-ups in contributor, founder, and advisor roles since 2009.
Tyler Neylon
Chief Technology Officer / Co-Founder
Before founding Zillabyte, Tyler enjoyed several years as a notable software engineer at Google. He is the author of numerous papers on machine learning and holds several related patents. Tyler left Google in 2009 to found Bynomial, an iPhone app consultancy. His iOS work has resulted in several apps in the coveted top-5 ranking in the iPhone App Store, as well as an Apple Design Award. In addition to his work, Tyler has maintained an active role in the machine learning research community. Tyler holds BS degrees in Computer Science and Math, as well as a PhD in Applied Math from New York University.
Peter Harrington
Chief Science Officer / Co-Founder
Peter is the author of Machine Learning in Action and is an active contributor to the data processing and machine learning communities. Peter spent six years as an engineer at Intel, and is the recipient of five patents. Peter has been advising start-ups since 2009 and helps them avoid pitfalls common in big data analysis. Peter holds a BS in Electrical and Computer Engineering from Purdue University, as well as an MS in Electrical Engineering from Arizona State University. Outside of work, you might find Peter building a his own 3d-printer, or perhaps an Android-based Geiger counter.