Garrett Kaufmann

Automotive Software Testing Operations at General Motors

Role
Software Engineer- Autoops & Insights at General Motors
Location
Royal Oak, MI, US
LinkedIn followers
500 followers

About Garrett Kaufmann

Software & ML Engineer @ General Motors + recent Applied Data Science Masters Grad @ University of MichiganAsk me about my work!Follow the unconventional path.

Experience

  1. Software Engineer- Autoops & Insights

    General Motors

    Jul 2024 — Present · Warren, MI, US

    I wear a few hats in this role. I started by designing real-time vehicle insight dashboards and metrics in Grafana for our CTF fleet. With that base I ended up managing our team’s observability infrastructure codebase while still working with internal customers to spin off dashboards illustrating software performance in test vehicles. Most recently I have supported multiple ML inferencing and summary tasks. I co-managed a team of remote contract developers tasked with developing a POC tool for real time vehicle log summarization and reported issue deduplication, which I then maintained and deployed after delivery. Currently I am supporting Test Automation Platform users through the development and maintenance of a Slack chat bot that identifies or generates relevant Autobot test cases for automated vehicle software testing.

Education

  • University of Michigan

    Masters, Applied Data Science

  • Wesleyan University

    Bachelor of Arts - BA, Mathematics and Computer Science

    2017 — 2021

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Garrett Kaufmann — Software Engineer- Autoops & Insights at General Motors in Royal Oak, MI, US | Unifers