David Kröll

Cloud Platform Engineer

Graz, Styria, Austria
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Summary

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Senior
🎓
Top School
David Kroell is a Forward Deployed Engineer with nine years of experience designing and delivering production-grade AI and cloud-native systems for federal and enterprise customers. He blends deep ML research (unsupervised, reinforcement, semi-supervised methods and GNNs) with hands-on engineering in Go, Kubernetes, and AWS to build scalable RAG, LLMOps, and agentic AI pipelines. At Node.Digital and Growth Protocol he modernized mission-critical systems—deploying secure Bedrock/SageMaker solutions and graph-based multi-modal fusion for real-time decisioning. His background in signal processing and sonar at Lockheed and Expedition Technologies gives him a practical edge in robust, low-latency ML systems. An open-source and cloud enthusiast, he frames complex AI research into executable architectures and reusable tooling. Based in Reston, VA, he’s known for turning advanced models into deployable automation that measurably improves operational workflows.
code9 years of coding experience
job5 years of employment as a software developer
bookReife und Diplomprüfung (Matura), Information and Network Technology, Reife und Diplomprüfung (Matura), Information and Network Technology at HTL Villach
bookBachelor of Science - BSc, Bachelor of Science - BSc at Technische Universität Graz
bookBachelor, Exchange Student, Computer Science, Bachelor, Exchange Student, Computer Science at Stockholm University
languagesGerman, English, Swedish
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Github Skills (82)

fitness10
youtube10
garmin10
mp310
open-source10
javascript9
laravel9
sdk9
go-packages9
hugo9
hugo-theme9
vsphere9
fan-control9
decoding9
docker9

Programming languages (9)

C#PowerShellJavaDockerfileShellCSSJavaScriptGo

Github contributions (5)

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This is the source of my personal page.
Contributions:68 commits, 19 PRs, 95 pushes in 1 year 9 months
cssjavascriptpersonal-page
davidkroell/bodycomposition

Mar 2020 - Jan 2023

Bodycomposition is a program to manage your body measurements and composition stored in Garmin Connect from your beloved commandline.
Contributions:23 releases, 53 commits, 8 PRs in 2 years 9 months
command-linegofitfitnessgarmin
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