Dimаs Muñoz

Senior Software Engineer at Onum

Madrid, Community of Madrid, Spain
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Summary

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Senior
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Top School
Dimas Muñoz is a Senior/Principal Software Engineer with nine years of experience building petabyte-scale, real-time data processing systems and machine learning infrastructure for fast-moving startups. He has led ML architecture and productionization efforts—designing high-throughput ingestion, custom log transformation algorithms, and UEBA-style anomaly detection—while bridging research and engineering across cross-functional teams. His background spans NLP, time-series forecasting, synthetic data and conditional text generation in non-English languages, with academic work and open-source projects (including transformer and nested NER implementations) underpinning his applied research. Based in Madrid, he pairs hands-on systems design and REST API development with a track record of deploying models in distributed big-data environments, and he’s known for translating deep research into reliable, production-ready services.
code9 years of coding experience
job7 years of employment as a software developer
bookMaster's degree Data Scientist, Master's degree Data Scientist at Higher School of Economics
bookBachelor's degree Software Engineering, Bachelor's degree Software Engineering at Universidad Rey Juan Carlos
languagesspanish (español), English
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Github Skills (30)

intellij9
svm9
roberta9
lstm8
linear-algebra7
algorithms7
spark7
text-classification7
java7
scala7
python7
math-library6
keras6
clojure6
gpu6

Programming languages (5)

JavaRJavaScriptJupyter NotebookPython

Github contributions (5)

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Data analysis of real-time data of go-kart races.
Contributions:1 release, 8 PRs, 171 pushes in 5 years 1 month
golangrealtimedata-analysiskartraces
DimasDMM/text-classification

Apr 2020 - Aug 2020

Performance comparison of different algorithms for text classification: LSTM, SVM and RoBERTa.
Contributions:15 commits, 18 pushes, 1 branch in 3 months
lstmrobertasvmtext-classification
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