Laura Funderburk

Developer Relations And Community Lead

Canada
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Summary

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Laura Funderburk is a Developer Relations and Community Lead with 10 years of experience bridging data science, engineering, and developer advocacy across open source and AI ecosystems. With a BSc in Mathematics and deep hands-on expertise in Python, SQL/NoSQL, Ray and Apache Spark, she designs robust data pipelines and productionizes ML and LLM-based applications with an emphasis on MLOps and RAG patterns. Laura has a track record of creating high-impact technical content, bilingual mentorship programs, and rapid-turnaround AI prototypes that drive community adoption and startup collaboration. Former roles at Bytewax, Ploomber and AI Makerspace showcase her ability to translate complex engineering into approachable resources and developer experiences. She combines statistical rigor and feature-engineering chops with practical deployment experience—often leveraging pipeline frameworks like Ploomber—to move models from experiment to production.
code10 years of coding experience
job7 years of employment as a software developer
bookThe National Polytechnic Institute of Mexico
bookBachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Simon Fraser University
languagesSpanish, English, German
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Stackoverflow

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Github Skills (160)

notebook10
dataflow10
python10
duckdb10
stream-processing10
tsql10
sentiment-analysis10
data-processing10
rust10
jupyter10
data-science10
jupyter-notebook10
streaming-data10
machine-learning10
pycharm10

Programming languages (9)

TypeScriptJavaShellRTeXJavaScriptHTMLJupyter Notebook

Github contributions (5)

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Building RAG and Agentic Applications with Haystack 2.0, RAGAS and LangGraph 1.0 published by Packt
Contributions:6 reviews, 17 PRs, 478 pushes in 2 years 3 months
agenticindexing-queryingllmpythonrag
Repository for capstone project
Contributions:92 commits, 1 PR, 93 pushes in 4 months
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