Matthew Sparr

ML Engineer at TinyFish

Los Angeles, California, United States
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Summary

👤
Senior
🎓
Top School
Matthew Sparr is an ML engineer with 11 years of software and data experience, currently building production-ready machine learning systems and products in Los Angeles. He holds an MS in Artificial Intelligence and a BS in Data Science, and has applied that blend of research-oriented training and practical engineering at O'Reilly, Collectors, TinyFish, and earlier roles in software and automation. Matthew pairs hands-on model design and Python engineering with mentoring experience from Flatiron School, where he coached aspiring data scientists and helped them ship portfolio projects. His background spans the full ML lifecycle—from experiment to deployment—and he’s comfortable moving between education, product, and infrastructure contexts to operationalize models. Notably, he has a track record of helping teams secure senior roles and scale ML efforts across diverse domains.
code11 years of coding experience
job8 years of employment as a software developer
bookBachelor of Science - BS, Data Science and Data Analytics, Bachelor of Science - BS, Data Science and Data Analytics at Thomas Edison State University
bookMaster of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at IU International University of Applied Sciences
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Github Skills (27)

workbench7
lora6
embedding6
multimodal6
google-cloud-platform6
classifier5
llm4
pipeline4
vertex4
lstm3
python3
generative-ai3
google-cloud3
genai3
automl3

Programming languages (6)

CSSJavaScriptHTMLJupyter NotebookRubyPython

Github contributions (5)

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matthewsparr/Deep-Zork

Mar 2019 - Apr 2019

Contributions:10 commits, 4 pushes in 13 days
Contributions:254 commits, 2 PRs, 250 pushes in 10 months
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