Seyed Moghadas

Machine Learning Researcher at Vrije Universiteit Brussel

Brussels, Belgium
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Summary

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Seyed Moghadas is a Machine Learning Researcher and experienced backend developer based in Brussels with nine years of building production-grade systems and ML models. He bridges applied research and engineering—designing graph neural networks for traffic forecasting, deploying cloud-native ML pipelines, and experimenting with LLMs for time-series analysis—while maintaining a strong Python/TensorFlow and Java background. His career spans academia (Vrije Universiteit Brussel) and industry roles where he led backend work in network management and scaled ML solutions at Mahsan and IISA. Holding an MS in Computer Science and a BSc in Computer Engineering, he combines rigorous research instincts with hands-on software craftsmanship. Notably, he translates advanced research into operational tools rather than keeping models confined to notebooks.
code9 years of coding experience
job5 years of employment as a software developer
bookB.c, Computer Engineering, B.c, Computer Engineering at K. N. Toosi University of Technology
bookAmirkabir University of Technology
languagesDutch, English
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Github Skills (200)

sagemaker10
image-generation10
foundation-models10
mlmodel10
object-tracking10
webscraping10
diffusion-probabilistic10
api10
neural-network10
object-detection10
computer-vision10
nlp10
jupyter-extension10
function-calling10
data-science10

Programming languages (16)

JavaC++CSSCRustGoHTMLJupyter Notebook

Github contributions (5)

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Contributions:40 pushes, 2 branches in 4 years 10 months
AUT-Data-Group/GTS

Oct 2021 - Nov 2022

Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.
Contributions:2 PRs, 151 pushes, 2 branches in 1 year
forecastingiclrstructure-learningdiscretestructure-graph
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