Arlind Kadra
Scientific Researcher at University of Technology Nuremberg
Freiburg im Breisgau, Baden-Württemberg, Germany
Summary
🤩
Rockstar🎓
Top SchoolArlind Kadra is a scientific researcher with nine years of experience at the intersection of deep learning, automated hyperparameter and architecture search, and transfer/meta-learning, currently based in Freiburg and affiliated with the University of Technology Nuremberg. His PhD work at the University of Freiburg demonstrated practical deep learning wins on tabular data, developed multi-fidelity hyperparameter strategies, and produced a state-of-the-art system that selects pretrained vision models and tuning schedules for downstream tasks. He also introduced a mesomorphic hypernetwork that preserves black-box accuracy while offering locally linear interpretability, blending performance with explainability. Prior industry work includes applied generative models for facial editing and speaker verification systems, showing an ability to move research into production settings. Active in open source, he improved OpenML’s Python API with bug fixes, dataset filtering, and private dataset support—contributions that support reproducible ML workflows. Pragmatic and research-driven, he focuses on methods that speed up deployment and make large models more adaptable and interpretable.
9 years of coding experience
4 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at The University of FreiburgSami FrasheriBachelor's degree Inxhinieri informatike, Bachelor's degree Inxhinieri informatike at Universiteti Politeknik i Tiranës
English, Albanian, Italian, German
Github Skills (13)
debug10
api10
python10
apidoc10
data-science9
machine-learning9
benchmarking8
benchmark8
data-set8
tabular8
data-model8
user-data8
datatable8
Programming languages (5)
Github contributions (5)
openml/openml-python
Mar 2018 - May 2021
OpenML's Python API for a World of Data and More 💫
Role in this project:
Backend Developer
Backend DeveloperContributions:9 reviews, 694 commits, 34 PRs in 3 years 2 months
Contributions summary:Arlind primarily focused on fixing bugs and implementing new features for the OpenML Python API. Their contributions included addressing ASCII decoding problems in Python 2, implementing dataset listing with filter options, and adding support for private datasets. They also worked on refactoring the code and removing split pickling. These changes demonstrate a focus on improving the API's functionality and addressing compatibility issues.
pythonmeta-learningopenmldata-sciencemachine-learning
ArlindKadra/DeepLearning
Mar 2018 - Mar 2019
Investigate myth : Deep learning scales well only with a large number of data points.
Contributions:150 commits, 2 PRs, 139 pushes in 1 year
pytorchscalespythondeep-learningmachine-learning
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