Ravi Prakash
Alliances Lead For Data Protection, CyRes & Tech Lead For The Tech Alliances Program
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolRavi Prakash is a Principal Technologist with 25+ years of experience helping ISVs and enterprise customers apply AI/ML, data protection, and cloud-native architectures to solve real business problems across AWS, Azure and Google Cloud. At NetApp he builds and documents integrated ISV solutions and enables sales and architects to convert those solutions into ARR, spanning verticals from healthcare and media to EDA and finance. His background blends deep product and marketing instincts from roles at Cisco, IBM, SAIC and startups with hands-on engineering contributions to prominent open-source projects like Apache Hadoop (HDFS improvements and performance work). Ravi is equally comfortable authoring go-to-market content and diving into technical details such as workload analysis, object storage strategies and DevOps toolchains. Based in San Jose, he brings a rare combination of marketing storytelling and systems-level technical fluency that accelerates partner adoption and sales velocity. An often-overlooked strength is his history of driving productization in pre-IPO environments, giving him a pragmatic edge in turning prototypes into revenue-generating offerings.
12 years of coding experience
27 years of employment as a software developer
BS, Electrical Engineering, BS, Electrical Engineering at New Jersey Institute of TechnologyBachelor of Science (B.Sc.), Physics, Bachelor of Science (B.Sc.), Physics at University of Mumbai
English, Hindi
Github Skills (6)
javas10
hdfs10
hadoop10
java10
multithreading9
xml9
Programming languages (3)
Github contributions (5)
apache/hadoop
Oct 2014 - Aug 2017
Apache Hadoop
Role in this project:
Back-end Developer
Back-end DeveloperContributions:30 commits, 1 comment in 2 years 9 months
Contributions summary:Ravi primarily focused on enhancing the Hadoop Distributed File System (HDFS) code, implementing and modifying functionalities related to XML parsing, lease recovery, and file browsing UI. Their contributions include bug fixes in XML string handling within the `XMLUtils` class and adding performance metrics like the number of active clients and files under construction. The user also introduced features for viewing chunks of files in the HDFS file browser. Furthermore, the user was also involved in improving the DistCp build listing speed using threadpools.
apache-hadoophadoop
VertiPub/hadoop-common
Jan 2015 - Apr 2016
Contributions:11 PRs, 15 pushes, 11 branches in 1 year 2 months
hadoopjavaapacheapache-hadoop
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