Charles Ivie
Partner & Head Of Data & AI Engineering
Stony Stratford, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolCharles Ivie is a seasoned data and AI engineering leader with 11 years of experience building knowledge-graph, NLP, and search-driven systems for enterprises and media organizations. Currently Partner & Head of Data & AI Engineering at Ortecha, he previously shaped Amazon Neptune as a Senior Graph Architect, contributing code, roadmap input, and technical publications. His career blends hands-on engineering and technical leadership across startups and major publishers (BBC, Telegraph, Financial Times), delivering semantic publishing, recommendation engines, and large-scale data platforms. Charles is expert in Linked Open Data, GraphDBs, semantic web technologies, and cloud-native architectures, and he often bridges product, architecture, and delivery in Agile teams. Beyond leadership he remains deeply technical—frequently inventing integrations and prototypes that make knowledge graphs practical for search and NLP use cases. Based in Stony Stratford, he pairs enterprise-grade delivery experience with a persistent focus on making AI and graph technologies accessible and production-ready.
11 years of coding experience
20 years of employment as a software developer
O.B; BSc Computer Science, O.B; BSc Computer Science at Kingston UniversityEmanuel School
English, English
Github Skills (41)
gremlin10
property-graph10
jupyter10
graph10
graph-database10
cypher10
graph-visualization10
rdf10
neptune10
jupyter-notebook10
tinkerpop10
sparql10
opencypher10
amazon-neptune10
apache9
Programming languages (5)
Github contributions (5)
Ontotext-AD/graph-notebook
Jan 2022 - Feb 2022
Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL.
Contributions:28 commits in 1 month
jupyter-notebookopencypherrdfsparqltinkerpop
agutierrezgit/AWS-graph-explorer
Aug 2023 - Aug 2023
React-based web application that enables users to visualize both Property Graph and RDF data and explore connections between data without having to write graph queries.
Contributions:1 push in 1 day
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