Kyllan Wunder
Associate Infrastructure Application Developer II
Lansing, Michigan, United States
Summary
👤
Senior🎓
Top SchoolKyllan Wunder is an infrastructure-focused application developer with nine years of experience building production tooling and CI/CD workflows to support data science teams. At Auto-Owners he built a widely used internal Python package, led a major API version migration, and championed local Docker development alongside GitOps and Argo-driven pipelines. With a MS in Data Science and a BS in Computer Science, he’s deployed fully local LLM pipelines and containerized research workflows at MSU, pairing strong reproducibility practices with automated GitLab-driven processes. His early research analyzing COVID-19 in wastewater produced open-source analysis tooling, showing a knack for turning messy data into actionable signals. Practical, detail-oriented, and comfortable bridging research and production, he thrives on making complex ML and data workflows reliable and repeatable.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Wisconsin-MadisonMaster of Science - MS Data Science, Master of Science - MS Data Science at Michigan State University
Github Skills (44)
mp39
playlists9
album-art9
spotify9
music9
openapi8
php8
webui8
ai8
llm8
youtube8
openai8
javascript7
ffmpeg7
python7
Programming languages (9)
Github contributions (5)
kyllan16693/kyllan16693.github.io
Jul 2022 - Feb 2025
Contributions:53 pushes, 1 branch in 2 years 7 months
kyllan16693/kyllan16693
Jun 2023 - Jan 2025
Contributions:6 pushes, 1 branch in 1 year 7 months
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