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.
9 years of coding experience
5 years of employment as a software developer
Reife und Diplomprüfung (Matura), Information and Network Technology, Reife und Diplomprüfung (Matura), Information and Network Technology at HTL Villach
Bachelor of Science - BSc, Bachelor of Science - BSc at Technische Universität Graz
Bachelor, Exchange Student, Computer Science, Bachelor, Exchange Student, Computer Science at Stockholm University
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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