Alex Averbuch
Research Engineer at TinkerPop
Stockholm, Stockholm County, Sweden
Summary
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Rockstar🎓
Top SchoolAlex Averbuch is a research engineer with 16 years' experience specializing in distributed systems, graph databases, and data-intensive computing, currently based in Stockholm and working at Neo Technology. He has a strong research background from SICS and a master's in distributed systems from KTH, and contributed performance testing and benchmarking work for LDBC. An active open-source contributor to TinkerPop/Blueprints, he improved GraphML ingestion with multi-threaded, transactional batch writes—work that boosted graph loading performance in a widely used graph framework. Comfortable across low-level embedded development to large-scale distributed storage, he blends academic rigor with practical engineering and a sustained interest in automated graph partitioning. Colleagues describe him as a continual learner who seeks creative, mission-driven teams and measurable impact.
16 years of coding experience
8 years of employment as a software developer
Graduate Diploma, Computer Science, Graduate Diploma, Computer Science at The University of AucklandMasters, Software Engineering of Distributed Systems, Masters, Software Engineering of Distributed Systems at KTH Royal Institute of TechnologyBachelor of Engineering Technology, Computing, Bachelor of Engineering Technology, Computing at Manukau Institute of Technology
Stackoverflow
3,285reputation
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9answers
31questions
junit
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unit-testing
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maven
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Github Skills (17)
graph-database10
java10
javas10
xml10
tinkerpop10
unit-testing9
multithreading9
junit9
maven9
jmh6
microbenchmark6
graph-theory6
neo4j6
metis6
graph6
Programming languages (7)
Github contributions (5)
tinkerpop/blueprints
Sep 2010 - Oct 2010
A Property Graph Model Interface (no longer active - see Apache TinkerPop)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:11 commits in 1 month
Contributions summary:Alex primarily contributed to the `GraphMLReader` component, modifying the code to handle batch write operations within transactions. They implemented changes to efficiently parse and load GraphML data, incorporating multi-threading. The user also added new classes to modify XML stream, to modify (add GraphML labels) XML stream in memory while pull-parsing. Their work focused on enhancing the performance and functionality of graph data loading.
property-graphtinkerpop
alexaverbuch/graph_cluster_utils
Jan 2010 - Jul 2010
Contributions:121 commits in 5 months
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