Hopsworks
Dhananjay Mukhedkar has a diverse work experience in the field of software engineering and consulting. Dhananjay is currently working as a Software Engineer at Logical Clocks since October 2020. Prior to this, they worked as a Senior Consultant at ORACLE FINANCIAL SERVICES SOFTWARE LIMITED from April 2017 to September 2018.
Before joining ORACLE, Dhananjay worked as a Software Engineer at Cognizant from June 2014 to April 2017. Earlier in their career, they also worked as a Package Solution Consultant at IBM from November 2013 to May 2014. Their initial experience includes working as an Application Developer at ORACLE FINANCIAL SERVICES SOFTWARE LIMITED from November 2009 to April 2012.
Dhananjay Mukhedkar completed their Bachelor of Engineering degree in Electrical, Electronics, and Communications Engineering from Sinhagad Technical Education Society's College of Engineering, which they attended from 2005 to 2009. Dhananjay then pursued their Master's degree in ICT Innovation, first at Technische Universität Berlin from 2018 to 2020, and later at KTH Royal Institute of Technology from 2019 to 2020. Dhananjay Mukhedkar is also an alumnus of EIT Digital, although the specific details of their time there, such as start and end years or degree obtained, are not provided.
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Hopsworks
We are Hopsworks - the Platform for Data-Intensive Artificial Intelligence with the industry's Python-centric Enterprise Feature Store. Funded in 2016 by the members of the Distributed Computing Group at KTH –Royal Institute of Technology and RISE SICS AB, aiming to provide the market’s go to Enterprise Data & AI platform. Our mission is to build the world’s most scalable, secure, reliable, efficient and human-friendly data-intensive machine learning platform to enable businesses to easily develop data and AI products that help their businesses thrive. Our vision is to enable the discovery of trustworthy, actionable insights in data and easily design and apply AI solutions to complex problems. 2017 : Winner of IEEE Scale challenge 2017 for HopsFS – 1.2m ops/sec 2018 : World’s first on-premises platform to support scale-out GPUs-as-a-Resource 2018 : World’s first Open Source Feature Store for Machine Learning 2019 : World’s most scalable POSIX-like file system in the Cloud, with multi-data center high availability and 1.6m ops/sec on Google Cloud Platform