Tadej Magajna
Global Associate Director, Analytics, Data Science & AI
Ljubljana, Slovenia
Summary
🤩
Rockstar🎓
Top SchoolTadej Magajna is a seasoned tech leader with 11 years of experience bridging machine learning, NLP, and software engineering across Big Tech and enterprise pharma. Currently Global Associate Director for Analytics, Data Science & AI at Sandoz, he previously developed language models for Microsoft SwiftKey and ML-driven recommendations in M365 while coordinating cross-team initiatives. He combines hands-on contributions to prominent open-source NLP tooling—improving hyperparameter optimization and Transformer support in the flair framework—with a track record of delivering production systems from backend services to ML engines for clients like Deutsche Bahn and Siemens. Comfortable shifting between strategy, team leadership, and low-level debugging, he leverages a Master’s in Computer Science from University of Ljubljana and early full-stack and research experience to translate complex models into reliable products.
11 years of coding experience
12 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at UP FAMNIT - Faculty of Mathematics, Natural Sciences and Information TechnologiesMaster's degree Computer Science, Master's degree Computer Science at University of Ljubljana, Faculty of Computer and Information Science
Stackoverflow
2,865reputation
2.6mreached
42answers
24questions
php
top-5%
google-colaboratory
top-5%
Github Skills (17)
pytorch10
python10
machine-learning10
hyperparameter-optimization10
natural-language-processing10
google-colaboratory9
trainings9
php9
transformer-models9
modeling9
testing8
siebel6
wordpress6
radio-buttons6
ipython6
Programming languages (5)
Github contributions (5)
flairNLP/flair
Mar 2021 - Apr 2022
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Role in this project:
ML Engineer
ML EngineerContributions:10 reviews, 19 commits, 5 PRs in 1 year 1 month
Contributions summary:Tadej made significant contributions to the flairnlp/flair repository, focusing on enhancing the hyperparameter optimization capabilities. Their work involved refactoring and fixing existing parameter selection code, enabling and testing hyperparameter selection functionality, and integrating support for TransformerDocumentEmbeddings. The user addressed issues with embeddings and improved the overall parameter optimization process by modifying the code for various training parameters, models, and tests. Additionally, the user was also involved in addressing flake, mypy and isort issues.
nlppytorchnamed-entity-recognitionartsemantic-role-labeling
tadejmagajna/TensorMouse
Aug 2017 - Nov 2017
Contributions:39 commits, 38 pushes, 1 branch in 3 months
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