Marko Sagadin
Embedded Machine Learning Engineer at DEWESoft RealTime
Maribor, Slovenia
Summary
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Rockstar🎓
Top SchoolMarko Sagadin is an Embedded Machine Learning Engineer based in Maribor, Slovenia, with seven years of experience applying ML to resource-constrained systems. Since 2020 he has been building real-time embedded ML solutions at DEWESoft RealTime, focusing on turning models into production-ready firmware and optimizing inference on edge devices. His background from Univerza v Mariboru grounds his practical approach to engineering, and he blends systems-level thinking with machine learning to deliver reliable, low-latency applications. Known for bridging the gap between algorithm design and embedded constraints, he brings a pragmatic focus on performance, determinism, and integration into instrumentation and data-acquisition products.
7 years of coding experience
Univerza v Mariboru
Github Skills (114)
python10
zephyr-rtos10
tensorflow-lite10
deep-learning10
bluetooth10
embedded10
mistral10
golang10
neural-network10
ollama10
git10
microcontroller10
zephyr10
iot10
tensorflow10
Programming languages (15)
Github contributions (5)
IRNAS/irnas-east-software
Mar 2023 - Apr 2026
East is a command line meta-tool, useful for creating, managing, and deploying Zephyr or nRF Connect SDK projects.
Contributions:1 release, 28 reviews, 60 PRs in 3 years 1 month
command-linenrf-connect-sdk
MarkoSagadin/zephyr
May 2023 - Jun 2026
Primary Git Repository for the Zephyr Project. Zephyr is a new generation, scalable, optimized, secure RTOS for multiple hardware architectures.
Contributions:72 pushes, 7 branches in 3 years
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