Felix Chapman
Senior Backend Engineer at Redzone
United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolFelix Chapman is a Senior Backend Engineer with 11 years’ experience building scalable, high-performance systems in Java, Python and Rust, now based in the UK. He has deep expertise in distributed data platforms and graph databases from his core work on TypeDB (formerly Grakn), where he implemented query planning, remote execution and reliability improvements. At Babylon he architected large-scale ETL and real-time data pipelines—ingesting billions of Kafka events into a unified Health Graph and exposing it via GraphQL/FHIR—while also owning 24/7 reliability for dozens of microservices. Known for pragmatic engineering and mentoring cross-functional teams, he combines low-level systems work (database internals, protocol buffers, gRPC) with product-focused delivery. An adventurous problem-solver, he even applied machine learning in academic research on plant electrical signals early in his career.
11 years of coding experience
8 years of employment as a software developer
A Level Computing, A Level Computing at Strode CollegeMaster of Engineering (MEng) Computer Science, Master of Engineering (MEng) Computer Science at University of Southampton
English, French
Stackoverflow
91reputation
2kreached
5answers
2questions
Github Skills (15)
javas10
query-parser10
graph-database10
parse10
java10
grpc10
testing9
reasoning9
database-design9
query-optimization9
lifetime6
rust6
borrow-checker6
llvm-ir6
llvm6
Programming languages (8)
Github contributions (5)
typedb/typedb
Aug 2016 - Mar 2018
TypeDB: the power of programming, in your database
Role in this project:
Back-end Developer & Database Engineer
Back-end Developer & Database EngineerContributions:608 commits, 1257 PRs, 611 pushes in 1 year 7 months
Contributions summary:Felix primarily worked on implementing features within the Grakn database, modifying core functionalities, and enhancing query capabilities. Their contributions involved significant changes to the backend code, including implementing support for resource comparisons, handling edge-cases related to rule definitions, and improving the precision of query planning. Furthermore, the user focused on improving the reliability and performance of the system by addressing bugs and adding test coverage.
hyper-relationalknowledge-baseknowledge-graphagdagraph-theory
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