Martin Kleppmann is an Associate Professor at the University of Cambridge and a leading researcher in distributed systems, focusing on local-first software, CRDTs, decentralised protocols, privacy, scalability, and formal verification. He is the author of the best-selling book Designing Data-Intensive Applications, widely praised by practitioners and cited as required reading by senior industry technologists. With 21 years of experience across academia and industry, he co-founded Rapportive, worked on large-scale data systems at LinkedIn, and advises startups and enterprises on architecture and open-source strategy. His open-source contributions span projects from Apache Avro and change-data-capture tooling to CRDT implementations like Automerge, reflecting deep hands-on expertise in serialization, data integration, and conflict resolution. Trained at Cambridge (BA/MA, PhD) and with a background in music composition, he brings a rare combination of rigorous formal thinking, practical engineering, and an eye for clear technical communication.
21 years of coding experience
12 years of employment as a software developer
Composition, Composition at Royal Scottish Academy of Music and Drama
Bachelor of Arts / Master of Arts (Cantab) Computer Science, Bachelor of Arts / Master of Arts (Cantab) Computer Science at University of Cambridge
Contributions:112 commits, 17 PRs, 31 pushes in 2 years 8 months
Contributions summary:Martin focused on developing features for a change data capture (CDC) system, specifically for PostgreSQL. They implemented functionality to export database tables into Avro data files, converting Postgres data types to their Avro equivalents. The commits demonstrate the integration of Avro with PostgreSQL, including schema generation and binary data processing. Furthermore, the user created functions for schema retrieval and table export, showcasing a focus on database integration.
Contributions:28 commits, 1 comment in 2 years 9 months
Contributions summary:Martin contributed to the Apache Avro project, focusing on Java and Ruby codebases. Their work included fixing issues in Java's `AvroMultipleOutputs` for Hadoop, and implementing Deflate codec support and fixing data file corruption issues in Ruby. They also addressed C code for correct EOF handling in data files. The contributions showcase a strong understanding of data serialization, codecs, and file formats.
avrobigdatadotnetpythonrust
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.