Paul Gibeault

AI Architect at Micron Technology

Boise, Idaho, United States
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Summary

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Senior
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Top School
Paul Gibeault is an AI Architect and seasoned software leader with over two decades of experience building production-grade systems at Micron, from low-level Perl/C++ frameworks to enterprise-wide data platforms. He led global teams to design scalable ingestion and orchestration solutions—most notably migrating 5,000+ pipelines to Snowflake and creating reusable NiFi→Snowflake patterns published as SnowflakeNiFiProcessors on GitHub. Paul blends hands-on engineering (C#, WPF, Java, Python, FastAPI) with pragmatic platform thinking, having created GDML/SMAPI to simplify secure data access across complex manufacturing domains. Recently he’s focused on GenAI infrastructure and agent orchestration, shipping a production Search+Q&A framework that standardizes processing steps for LLM-driven workflows. Based in Boise, he pairs a knack for developer productivity tools with a brewer’s patience and a track record of turning messy, distributed data problems into repeatable, automated solutions.
code9 years of coding experience
job21 years of employment as a software developer
bookBachelor of Science in Computer Science Computer Science, Bachelor of Science in Computer Science Computer Science at University of Idaho
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Stackoverflow

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Github Skills (10)

java10
apache9
apache-nifi9
fluentd8
cortex8
data-platform8
snowflake6
hugo5
httpd3
network-server2

Programming languages (2)

JavaHTML

Github contributions (5)

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paulgibeault/nifi

Aug 2016 - Apr 2020

Contributions:12 pushes, 13 branches in 3 years 8 months
javanifiapacheapache-nifi
This repository contains NiFi processors for interacting with Snowflake Cloud Data Platform.
Contributions:1 review, 23 commits, 17 PRs in 3 years
cortexnifiprocessorsfluentdsnowflake
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Paul Gibeault - AI Architect at Micron Technology