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Konstantine Karantasis
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ConfluentCompany Size
2500+
Amount Raised
$455.9M
Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Our cloud-native offering is the foundational platform for data in motion --- designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, our customers can meet the new business imperative of delivering rich, digital customer experiences and real-time business operations. Our mission is to help every organization harness data in motion so they can compete and thrive in the modern world.
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Sequoia Capital, DCVC, Franklin Templeton Investments, Coatue, Benchmark
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Experience
Confluent
Aug 2016 - Present
Staff Software Engineer
Jan 2021 - Present
• 4 yrs 2 mosMember of the Kafka Connect team, I am working on seamless and scalable integration of data systems with Apache Kafka in the cloud and on-premise.
Senior Software Engineer
Aug 2016 - Dec 2020
• 4 yrs 5 mosThe Apache Software Foundation
Feb 2020 - Present
Apache Kafka PMC member
Jun 2021 - Present
• 3 yrs 9 mosApache Kafka Committer
Feb 2020 - Present
• 5 yrs 1 moSenior Software Engineer
Big Data Startup in Stealth-mode
Mar 2016 - Aug 2016
• 6 mosLed the efforts to accelerate big data workloads on Apache Spark and Apache Kafka using native code and specialized hardware accelerators.
Tech Yahoo, Software Engineer
Yahoo
Oct 2014 - Mar 2016
• 1 yr 6 mosI worked on enabling and optimizing big data analytics for Yahoo's massive audience data on a technology stack that included Druid, Kafka, Hadoop and Spark. Designed and implemented key parts of low latency web-services for ad-hoc real-time queries on streamable and aggregatable data, such as topN, time-series and group-by queries.
Led the performance evaluation and contributed to capacity planning of Yahoo’s next generation data analytics clusters for audience data.
Tech stack: Kafka, Druid, Hadoop, Spark, Java 8, ReactiveX, Scala, Groovy
University of Illinois at Urbana-Champaign
Aug 2011 - Oct 2014
Postdoctoral Research Associate, Computer Science
Aug 2011 - Oct 2014
• 3 yrs 3 mosI designed and implemented with Andrew Lenharth and Donald Nguyen the first parallel versions of the most widely used algorithms for bandwidth and wavefront reduction in sparse matrices and social networks. These algorithms have significant applications ranging from numerical computing to data visualization.
You may find these high performance versions of Cuthill-McKee and Sloan algorithms along with many other fascinating parallel graph algorithms in the latest version of Galois.
Tech stack: Galois, Boost, C++11, R, Stream-based lazy evaluation computing.
Visiting Lecturer, Electrical and Computer Engineering
Aug 2011 - Jun 2013
• 1 yr 11 mosEducation
- 2006 - 2011University of PatrasPh.D., Computer Science and Engineering
- 2003 - 2006University of PatrasM.Sc., Computer Science and Engineering
- 1998 - 2003University of PatrasBachelor of Science (B.Sc.) (5-year degree), Computer Engineering and Informatics