Mats Rydberg is a software engineer and engineering lead with 11 years of experience specializing in graph algorithms and graph machine learning, most notably leading development for Neo4j’s Graph Data Science and Cypher language features. He grew a team from 2 to 17 engineers while delivering cloud-native graph analytics as a service and contributing key backend security and user-management improvements to the flagship neo4j/neo4j repository. Comfortable across database internals, algorithm design and production services, Mats blends rigorous academic training (MSc in Computer Science, Lund University) with hands-on Java and distributed systems experience. Now at PlanetScale, he continues to bridge research-grade graph algorithms with scalable, secure engineering for real-world analytics. An uncommon strength is his track record of shipping both low-level DB authentication/authorization enhancements and high-level graph ML features, showing fluency across the stack.
11 years of coding experience
12 years of employment as a software developer
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at The Faculty of Engineering at Lund University
Contributions:1042 commits, 457 PRs, 385 pushes in 4 years 8 months
Contributions summary:Mats's contributions center on enhancing the security and functionality of the Neo4j database. They focused on improvements to authentication and authorization through the implementation of authentication caching and support for database users. Moreover, they contributed to user management features by implementing logging capabilities to monitor user creation, deletion, and role assignments.
Cypher for Apache Spark brings the leading graph query language, Cypher, onto the leading distributed processing platform, Spark.
Contributions:159 pushes, 79 branches in 1 year 10 months
queryquery-graphdistributed-systemapachebig-data
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