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.
9 years of coding experience
7 years of employment as a software developer
The National Polytechnic Institute of Mexico
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Simon Fraser University
Spanish, English, German
Stackoverflow
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Github Skills (200)
notebook10
dataflow10
python10
datasette10
data-transformation10
stream10
ipython-magic10
tushare10
beancount10
nlp10
summarization10
jupyter10
jupyter-notebook10
aws-glue10
jupyterlab10
Programming languages (9)
TypeScriptJavaShellTeXJavaScriptHTMLJupyter NotebookCommon Workflow Language
Jupyter notebook to explore the design of geometric patterns of Coast Salish woven baskets
Contributions:99 commits, 1 PR, 89 pushes in 1 year 11 months
coastexplorejupyter-notebooknotebookjupyter
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