Dan Kreider
IT Manager at FloodBrothers
St. Charles, Illinois, United States
Summary
👤
Senior🎓
Top SchoolDan Kreider is an IT manager with two decades of hands-on technology experience and a decade of focused professional practice managing infrastructure, support, and MSP client relationships from St. Charles, Illinois. He has progressed from desktop and hardware support through network administration to leading IT operations and vCIO services, coordinating cross-functional projects and vendor ecosystems for both nonprofit and commercial clients. At ITsavvy he acted as technical lead for multiple MSP accounts, managing budgets, vendor lifecycles, and complex integrations (PBX/VOIP, HVAC for server rooms, security systems), and now oversees IT at FloodBrothers. He contributes to major open-source documentation—improving TensorFlow tutorials and fixing broken JSON and image examples—demonstrating an attention to user-facing clarity as well as technical accuracy. Known for pragmatic cost-saving migrations (e.g., Google Apps consolidation for nonprofits) and a dry sense of humor about TypeScript, he blends operational discipline with a focus on improving end-user experiences.
10 years of coding experience
10 years of employment as a software developer
Southwest Missouri State UniversityCertificate of Completion, Network Technologies, Certificate of Completion, Network Technologies at Chubb Institute Chicago
Stackoverflow
150reputation
7kreached
8answers
1question
Github Skills (11)
tensorflow10
documentation10
machine-learning8
deeplearning-ai7
deep-learning7
git6
qt6
angular2-select6
android6
http-proxy6
angular6
Programming languages (7)
Github contributions (5)
tensorflow/docs
Apr 2019 - Apr 2019
TensorFlow documentation
Role in this project:
Technical Writer
Technical WriterContributions:5 commits, 2 PRs, 1 comment in 1 day
Contributions summary:Dan's commits primarily focused on correcting errors and improving the accuracy of documentation within the TensorFlow documentation repository. Specifically, the user addressed issues related to image display examples in tutorials, ensuring images were correctly rendered. They also fixed broken JSON formatting within the tutorials, improving the overall user experience and ensuring the tutorials functioned as expected. The commits demonstrate a clear focus on maintaining the quality and usability of the documentation for TensorFlow users.
deep-learningmachine-learningdeep-neural-networkstensorflow-tutorialstensorflow
dkreider/android-disable-camera
Feb 2018 - Sep 2018
Contributions:7 commits, 2 comments in 7 months
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