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Open Source Roundtable

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Hosted By
Vanessa M.
Open Source Roundtable

Details

What do you open source and why? What does it mean to contribute to open source? Do you have to have all the answers before jumping in? Join us next Tuesday the 19th for an Open Source Roundtable, hosted by BOLD. We have 5 open source contributors who will be speaking about their journey into and through the open source world. See you on Tuesday!

5:30-6:30: Networking, Food & Drinks

6:30-7:30: Open Source Panel (panel discussion with Q&A from audience)

Profiles of Panelists

Kate Ting, Cloudera

Kate Ting (@kate_ting) is a Customer Success Manager at Cloudera where she helps strategic customers deploy and use the Apache Hadoop ecosystem in production. She's a frequent conference speaker, has contributed to several projects in the open source community, and is a committer and PMC member on Apache Sqoop. Kate is also a co-author of O’Reilly’s Apache Sqoop Cookbook.

Michelle Casbon, Idibon

Michelle Casbon (@texasmichelle) is a Senior Data Science Engineer at Idibon, where she works on a platform that provides natural language processing models for many different languages and domains. Prior to her current role, she worked in high-volume retail, which is where she first learned to use Hadoop & began to work with open-source software more widely. As a relatively new contributor, she has a fresh perspective on getting started and has plenty of advice for anyone looking to get involved.

Sarah Levine, Stanford Law School

As a fellow at Stanford Law School, Sarah Levine uses data science to explore questions about policy and law. Recently, she's implemented machine learning algorithms to improve worker safety in high-hazard industries like mining. Outside of work, she's passionate about cartography, open-source software, and open-data. As an evangelist of Open Street Map, she uses various strategies to produce and release geospatial data under the open data commons license: using computer vision on satellite imagery, bulk digitizing public records, organizing community workshops around mapping (particularly for crisis response in unmapped locations), and more. She's particularly interested in exploring strategies to bring more people into the open source community.

Rekha Joshi, Intuit

Rekha is a Principal Software Engineer at Intuit and is doing amazing things within the Big data ecosystem. She enjoys working in technology because it is an extremely creative, challenging and dynamic process and when it comes together to solve a real need, the end result is magical! Previously at Yahoo!, she worked on Apache Hadoop from early, initial versions. Rekha has worked in diverse domains from finance, advertising, and supply chain to cognitive research. She is an open source contributor and a speaker for ApacheCon, Grace Hopper, Hadoop and Cassandra conferences. Her refueling stops include reading works of Issac Asimov, Richard Feynman, PG Wodehouse and stalking Elon Musk.

Anjana Prabhakar, Intuit

As a Director of Engineering for the Data and Analytics team at Intuit, Anjana works on multiple open source projects, primarily focusing on Hadoop. Her expertise includes productionizing open source projects for enterprise deployments. Prior to Intuit, she worked at Cloudera, where she gained business insights on navigating the balance between open source and proprietary software. Anjana has been close to the open source world since her early days at Sun as part of the open JDK project.

Photo of BOLD (Bay area Organization of Ladies in big Data) group
BOLD (Bay area Organization of Ladies in big Data)
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