Simon Priisalu

Software Engineer at Neo Technology, Creators of Neo4j

Greater Malmö Metropolitan Area Sweden
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Summary

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Rockstar
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Top School
Simon Priisalu is a software engineer with 11 years' experience, currently working on Security and Cypher at Neo4j while completing an MSc in Computer Science at Lund University focused on machine learning for Android performance data. He combines back-end and database engineering expertise—demonstrated by contributions to the widely used neo4j-contrib/spatial project where he improved R-tree indexing and repacking—to build reliable, high-performance data systems. His background includes exchange studies in machine learning and algorithms at Georgia Tech and practical teaching experience as a lab assistant, giving him both strong theoretical foundations and hands-on mentoring skills. Based in the Greater Malmö area, he’s driven to apply ML and big data techniques to production-scale performance analytics.
code11 years of coding experience
bookExchange studies (Machine Learning & Algorithms), Exchange studies (Machine Learning & Algorithms) at Georgia Institute of Technology
bookComputer Science, Computer Science at Lunds tekniska högskola
bookExchange studies (Kinainriktning), Exchange studies (Kinainriktning) at Zhejiang University
languagesSwedish, English, kinesiska
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Github Skills (10)

neo4j10
javas10
java10
spatial-data10
data-structure9
geotools9
gis9
algorithm9
data-structures9
algorithms9

Programming languages (3)

JavaSchemeScala

Github contributions (5)

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neo4j-contrib/spatial

Nov 2016 - Dec 2016

Neo4j Spatial is a library of utilities for Neo4j that faciliates the enabling of spatial operations on data. In particular you can add spatial indexes to already located data, and perform spatial operations on the data like searching for data within specified regions or within a specified distance of a point of interest.
Role in this project:
userBack-end Developer & Database Engineer
Contributions:9 commits, 7 pushes, 2 branches in 12 days
Contributions summary:Simon primarily focused on enhancing the `neo4j-contrib/spatial` repository by adding new tests and improving existing ones for the R-tree index. The commits show modifications to the R-tree implementation, including bug fixes related to buffer sizes and partition handling. Furthermore, the user contributed to the repacking functionality of the R-tree index, demonstrating a deep understanding of the spatial data structures.
particularspatialexposepostgisgeotools
eebus/neo4j

Nov 2016 - May 2018

Contributions:224 pushes, 91 branches in 1 year 6 months
graphgraphsgraphqlgraph-algorithms
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