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 (150)
python10
zephyr-rtos10
deep-learning10
bluetooth10
gemma10
embedded10
git-repository10
mistral10
golang10
neural-network10
scalable10
infiniband10
data-science10
llama10
freertos10
Programming languages (15)
Github contributions (5)
IRNAS/irnas-zephyr-template
Oct 2022 - Mar 2025
Template for Zephyr Projects
Contributions:43 reviews, 29 PRs, 126 pushes in 2 years 5 months
templatezephyr
IRNAS/irnas-east-software
Mar 2023 - Apr 2025
East is a command line meta-tool, useful for creating, managing, and deploying Zephyr or nRF Connect SDK projects.
Contributions:1 release, 12 reviews, 48 PRs in 2 years
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