Harrison Burt

Software Engineer at Audigent

London, England, United Kingdom
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Summary

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Harrison Burt is a software engineer based in London with six years' experience building high-performance, low-latency back-end systems. Currently at Audigent, he brings hands-on expertise in Rust and search engine internals, contributing core data structures and index management to lnx-search and improving data handling and performance in Quickwit. He blends production engineering with open-source craftsmanship — maintaining lnx-search and tooling like the rewrk benchmarking tool used to stress-test web servers. Known among peers as a Rustacean, he also writes occasional technical posts on his blog, revealing a practical curiosity for profiling and systems-level optimization.
code6 years of coding experience
job2 years of employment as a software developer
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Github Skills (16)

data-structures10
tantivy10
search-engine10
rust10
postgresql10
back-end-development10
index-management10
data-structure10
database9
cloud-native9
open-source9
databases9
big-data8
io8
distributed-tracing7

Programming languages (8)

TypeScriptMDXJavaRustCJavaScriptHTMLPython

Github contributions (5)

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lnx-search/lnx

Aug 2021 - Nov 2022

⚡ Insanely fast, 🌟 Feature-rich searching. lnx is the adaptable, typo tollerant deployment of the tantivy search engine.
Role in this project:
userBack-end Developer
Contributions:13 releases, 11 reviews, 517 commits in 1 year 2 months
Contributions summary:Harrison primarily contributed to the core engine functionalities of the lnx search engine, focusing on the development of core data structures and index management capabilities. They implemented basic field declaration structures and defined index handling procedures. Their work involved the use of the Tantivy search engine, including index writing, document addition, and data structure design.
giantsrustdeploymentfeature-richshoulders
quickwit-oss/quickwit

Oct 2022 - Jan 2023

Cloud-native search engine for observability. An open-source alternative to Datadog, Elasticsearch, Loki, and Tempo.
Role in this project:
userBack-end Developer
Contributions:140 reviews, 62 commits, 71 PRs in 3 months
Contributions summary:Harrison primarily focused on enhancing the Quickwit search engine's back-end functionality. Their contributions include improving error messages related to metadata fetching, removing and refactoring metastore triggers for performance, and implementing bulk deletion of splits. They also added a filter for splitting metadata, fixed timestamp filters for PostgreSQL, and added the ability to detach merge pipelines, showing a focus on improving data management, and performance.
analyticsrustlog-analyticslog-managementlogging
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