Lane Harris

Engineering Manager at Indeed.com

Seattle, Washington, United States
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Summary

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Rockstar
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Top School
Lane Harris is an engineering manager and former Green Beret with 11 years of software experience who blends military-grade discipline with hands-on technical leadership. Based in Seattle, he co-founded Spice AI to make cloud and edge AI accessible and contributed code and DevOps improvements to its flagship Rust and Go repository. At Indeed he scaled self-service database operations to thousands of stores, modernized continuous delivery, and led cross-functional tiger teams for MySQL and Mongo hardening. Earlier work at Microsoft included building high-throughput telemetry storage for Application Insights and shipping CodeLens components for Visual Studio. Known for refusing mediocrity, he pairs product-focused execution with a deep background in systems, observability, and release engineering. Outside work he’s completed two cross-country hikes, a personal detail that underscores his persistence and ability to push long-term initiatives to completion.
code11 years of coding experience
job9 years of employment as a software developer
bookB.S. - Summa Cum Laude, Computer Science and Systems, B.S. - Summa Cum Laude, Computer Science and Systems at University of Washington at Tacoma
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Stackoverflow

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Github Skills (19)

github-ci10
docker10
dockers10
cicd10
go10
githubaction-workflow10
back-end-development9
configuration-management9
front-end-development9
data-connector8
data-connectors8
sql7
user-data6
machine-learning6
time-series6

Programming languages (5)

MDXJavaRustSCSSGo

Github contributions (5)

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spiceai/spiceai

Aug 2021 - Oct 2021

Add a real-time analytics node to your operational database. Spice is a portable, accelerated SQL query, search, and LLM-inference engine in Rust for data-grounded AI apps and agents.
Role in this project:
userFull-stack & DevOps Engineer
Contributions:16 reviews, 33 commits, 14 PRs in 2 months
Contributions summary:Lane contributed to various aspects of the Spice.ai project, demonstrating a broad skillset. They added and improved logging functionality using Go's zap library, updated and fixed the InfluxDB connector, and implemented environment variable injection for configuration. Furthermore, the user refactored the Docker setup, and added improvements to the dashboard. The user also worked on the build process by adding acknowledgements to the dashboard.
aidatabasellm-inferencerustsql-query
haardvark/spiceai

Sep 2021 - Oct 2021

Time series AI for developers
Contributions:13 pushes, 10 branches in 10 days
pytorchpythondeep-learningmachine-learningfor-developers
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