Elena Merdjanovska
Research Associate
Berlin, Germany
Summary
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Rockstar🎓
Top SchoolElena Merdjanovska is a research-focused machine learning engineer with nine years of experience bridging applied ML and frontend product work, currently pursuing a doctoral degree at Humboldt-Universität zu Berlin and researching robust learning from partially incorrect labels under Prof. Alan Akbik. Her background spans academic signal-processing projects in ECG analysis, industry internships including confidence estimation for LLM prompting at Amazon, and practical frontend development using Ionic/Angular. Based in Berlin, she combines rigorous experimental research with hands-on engineering, having taught programming and worked on real-world product interfaces. Notably, she brings experience handling noisy, real-world datasets across domains—an asset for turning theoretical advances into usable, resilient ML systems.
9 years of coding experience
4 years of employment as a software developer
Master's degree Information and Communication Technologies, Master's degree Information and Communication Technologies at Mednarodna podiplomska šola Jožefa StefanaBachelor's degree Computer Technologies and Engineering, Bachelor's degree Computer Technologies and Engineering at Faculty of Electrical Engineering and Information Technologies - SkopjeDoctoral degree Machine learning, Doctoral degree Machine learning at Humboldt-Universität zu Berlin
English, German
Github Skills (27)
pytorch10
named-entity-recognition10
satellite-data10
classification10
sequence-labeling10
word-embeddings10
machine-learning10
language-processing10
simple-framework10
segmentation10
predictive10
bert10
natural-language-processing10
nlp10
satellite10
Programming languages (1)
Github contributions (5)
elenamer/ecg_classification_DL
Apr 2021 - Apr 2022
ECG arrhythmia detection
Contributions:153 commits, 2 PRs, 72 pushes in 1 year
ecgmachine-learningarrhythmia-classification
elenamer/NoiseBench
May 2024 - Oct 2024
Contributions:15 pushes in 5 months
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