Mark Needham
Software Engineer at ClickHouse
London, England, United Kingdom
Summary
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RockstarMark Needham is a seasoned software engineer with 17 years' experience in backend systems, graph data science, and developer tooling, currently working as a Product Marketing Engineer at ClickHouse in London. He has a strong open-source footprint in prominent projects like Neo4j (graph algorithms, APOC procedures, Java driver) and Apache Pinot, contributing performance fixes, new algorithms, geospatial functions, and clearer documentation. Mark blends hands-on bug fixes and performance tuning with thoughtful documentation and example code, making complex graph capabilities accessible to developers. His work frequently bridges algorithmic depth (e.g., similarity computations, PageRank, Adamic-Adar) and practical engineering concerns like memory, Cypher performance, and error handling. Colleagues value that he surfaces non-obvious improvements—small docs or example tweaks that significantly raise adoption and usability of sophisticated graph features.
17 years of coding experience
Github Skills (30)
algorithm10
stored-procedures10
code-optimization10
algorithms10
graph-algorithms10
apache-pinot10
apidoc10
databases10
bolt10
graph-database10
java10
neo4j10
javas10
driver10
api10
Programming languages (24)
Github contributions (5)
neo4j-contrib/neo4j-apoc-procedures
Apr 2016 - Mar 2021
Awesome Procedures On Cypher for Neo4j - codenamed "apoc" If you like it, please ★ above ⇧
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 releases, 2 reviews, 1138 commits in 4 years 11 months
Contributions summary:Mark primarily contributed to the Neo4j APOC procedures, focusing on adding and refactoring existing code. Their work included implementing scoring functions, refactoring documentation by adding and organizing chapter headings and abstracts, and making minor code changes. They also updated and refactored existing documentation.
neo4j-pluginneo4j-databasestored-proceduresmemgraphapoc
neo4j-contrib/neo4j-graph-algorithms
Dec 2017 - Apr 2020
Efficient Graph Algorithms for Neo4j
Role in this project:Back-end Developer
Back-end DeveloperContributions:15 releases, 378 commits, 245 PRs in 2 years 4 months
Contributions summary:Mark primarily contributed to the documentation, creation, and maintenance of graph algorithms within the Neo4j Graph Algorithms project. They focused on refining and expanding documentation for various algorithms, including PageRank, Louvain, and Label Propagation. Additionally, they implemented and tested new algorithms, such as Adamic Adar and Resource Allocation, indicating a strong focus on backend logic related to graph data analysis. Their work included adapting code for use within a Cypher environment.
graph-algorithmsneo4jgraph
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