What Was Data Platforms Live 2017?

Jeff Barr is Chief Web Services Evangelist at Amazon Web Services, where he is focused on furthering awareness among software developers of the opportunity to innovate and build businesses using Amazon Web Services. In this role, Jeff travels, speaks, blogs, and maintains an active social media presence. Jeff has a longstanding interest in Web services and programmatic information interchange. He has held development and management positions at Microsoft, KnowNow, eByz, and Akopia and was a co-founder of Visix Software.

He earned his Bachelor’s degree in computer science from American University and his Master’s degree in Communication and Digital Media from the University of Washington. He has written over 2700 posts for the AWS blog and another 1100 for his personal blog. He’s been a technical reviewer for 4 books on web services, wrote a chapter on advanced scripting for a book on Second Life, and is the author of Host Your Website in the Cloud, published by SitePoint in 2010.

Before co-founding Qubole, Ashish ran Facebook’s Data Infrastructure team; under his leadership the team built one of the largest data processing and analytics platforms in the world. This platform achieved not just the bold aim of making data accessible to analysts, engineers and data scientists, but drove the “big data” revolution. In the process of scaling Facebook’s Big Data infrastructure, he helped drive the creation of a host of tools, technologies and templates that are used industry wide today.

Sean grew up in Hawaii, where he trained in mathematical physics at Texas A&M University with an emphasis on supergravity and string phenomenology. He jumped to travel industry with Expedia in 2015, where he is now a Senior Data Scientist. He presently works on assorted problems, particularly in platform/marketplace design and Learning to Rank.

Austin graduated from MIT in 2015 and is currently pursuing a Master’s Degree in Machine Learning and AI from Georgia Tech. He currently works for the Center for Machine Learning at Capital One, building ML models for various use cases in Cybersecurity, Small Business and Social Media. He has experience working with many different open source tools and libraries to build these models, such as Keras and TensorFlow.