Paris Carbone

Associate Professor

Stockholm, Stockholm County, Sweden
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Summary

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Senior
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Top School
Paris Carbone is a computer scientist and founder with 13 years of experience building and researching scalable data management and distributed systems. As Co-Founder & Chief Scientific Officer of OrbDB Labs and an Associate Professor at KTH, he leads both academic research and product-forward R&D in streaming, state management and fault-tolerant processing. A long-time Apache Flink committer, his contributions include core snapshotting mechanisms and streaming APIs that influenced industry fault-tolerance practices. He blends deep systems research—PhD work on transactional and streaming models—with hands-on engineering, having implemented windowing and ConnectedDataStream support in Flink. Based in Stockholm, he also works across space, quantum communications and AI at RISE, revealing a cross-disciplinary appetite for hard systems problems. Known for translating rigorous research into production-grade systems, he excels at bridging theory, open-source impact, and startup execution.
code13 years of coding experience
job12 years of employment as a software developer
bookBSc, Informatics, BSc, Informatics at Athens University of Economics and Business
bookDoctor of Philosophy - PhD, Computer Systems, Doctor of Philosophy - PhD, Computer Systems at KTH Royal Institute of Technology
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Github Skills (15)

javas10
big-data10
flink-sql10
apache-flink10
java10
streaming10
scala10
chat9
sql8
classloader6
auto-scroll6
erlang6
android-widget6
android6
android-layout6

Programming languages (4)

JavaSCSSScalaMLIR

Github contributions (5)

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apache/flink

Jan 2015 - Jan 2016

Apache Flink
Role in this project:
userBack-end Developer
Contributions:25 commits, 8 PRs, 66 comments in 1 year
Contributions summary:Paris contributed to the Apache Flink project by implementing and updating examples related to windowing and streaming operations using Scala. Their work involved modifying existing Java and Scala code, including adding new examples and updating the usage of helper functions. The user demonstrated a strong understanding of Flink's streaming API through the addition of initial ConnectedDataStream support. These commits showcase their proficiency in developing and maintaining core functionalities within the Flink framework.
pythonflinkconnectorsqlapache
Contributions:16 commits, 3 PRs, 16 pushes in 2 years 2 months
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Paris Carbone - Associate Professor