Matt Lanzi

Software Engineer at Woven by Toyota

Michigan, United States
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Summary

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Senior
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Top School
Matt Lanzi is a software engineer with 8 years' experience designing cloud-native backend and data platforms that power simulation, experimentation, and production AI/ML systems. He excels at translating product requirements into scalable architectures and efficient data pipelines, with a track record of cutting analytics storage and resource usage dramatically while accelerating failure diagnostics from hours to minutes. Comfortable at the intersection of engineering rigor and real-world impact, he prioritizes simple, maintainable systems, clear ownership, and documentation that teams can rely on. His recent work spans advanced driver-assistance tooling at Woven by Toyota and cross-system traceability and MLOps proof-of-concepts at Ford. Based in Michigan, he brings startup grit from earlier roles and a practical bent for making ML and analytics workflows operationally reliable. An uncommon strength is his focus on measurable operational wins—cost, latency, and memory reductions—rather than purely feature delivery.
code8 years of coding experience
job5 years of employment as a software developer
bookBachelor's degree Computer Science, Bachelor's degree Computer Science at Oakland University
bookComputer Science, Computer Science at Macomb Community College
bookBachelor of Science (B.S.) Kinesiology and Exercise Science, Bachelor of Science (B.S.) Kinesiology and Exercise Science at Michigan State University
languagesEnglish, Spanish
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Stackoverflow

Stats
5reputation
2kreached
1answer
2questions
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Github Skills (9)

foreign-keys6
jpa6
database6
spring-boot6
pathfinding5
algorithms5
machine-learning4
neural-network3
jekyll2

Programming languages (2)

TypeScriptJavaScript

Github contributions (5)

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luaywadie/AmAlgorithms

Sep 2020 - Dec 2020

Visualizing algorithms from Searching, Pathfinding, Sorting, Machine Learning, Neural Networks and much more!
Contributions:144 commits, 2 PRs, 122 pushes in 2 months
machine-learningneural-networkpathfinding
Contributions:24 pushes, 2 branches in 19 days
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