Martin Kleppmann

Affiliated Lecturer / Senior Research Associate / Research Fellow at University of Cambridge

Martin Kleppmann is a prominent figure in the field of computer science, particularly known for his expertise in distributed systems, data-intensive applications, and software engineering. Here's an overview of his background and accomplishments:

Academic Career

Martin Kleppmann is currently an Associate Professor in Computer Security and Privacy at the University of Cambridge, a position he will take up in January 2024.2 Prior to this, he held the following positions:

Research Fellow at the Technical University of Munich (October 2022 - Present)1
Affiliated Lecturer / Senior Research Associate / Research Fellow at the University of Cambridge (October 2019 - September 2022)1

Industry Experience

Kleppmann has a diverse background in the tech industry:

Co-founder of Rapportive, a startup acquired by LinkedIn in 20121
Senior Software Engineer at LinkedIn (February 2012 - August 2014)1
Independent consultant and advisor to various software startups since January 20151

Notable Achievements

Author:: Martin Kleppmann is the author of the highly regarded book "Designing Data-Intensive Applications," which has become a must-read in the field of data systems and distributed computing.3 5

Open Source Contributions:: He has been a committer and Project Management Committee (PMC) member for Apache Avro and Apache Samza.1

Research Focus:: Currently, Kleppmann is leading a research group on local-first software at the Technical University of Munich, funded by a Freigeist Fellowship from the Volkswagen Foundation.1

Expertise and Recognition

Martin Kleppmann is widely recognized for his ability to explain complex technological concepts in an accessible manner. His work spans various areas, including:

Distributed systems
Data storage technologies
Conflict-free Replicated Data Types (CRDTs)4
Database internals and data processing6 7

His contributions to the field have made him a respected figure in both academia and industry, with his insights shaping the way data-intensive applications are designed and implemented.