Tivadar Danka
Founder at The Palindrome
Hungary
Summary
🤩
Rockstar🎓
Top SchoolTivadar Danka is a founder and machine learning engineer with eight years of experience, blending a PhD-level mathematics background with hands-on open-source work to lower barriers to AI adoption. He leads The Palindrome to translate complex ML concepts into accessible visual stories and practical tools, while contributing core active learning algorithms to the modAL Python project. Based in Hungary, Tivadar focuses on empowering developers, educators, and enterprises to build and discover talent, combining rigorous theory with production-minded engineering. Known as an Eastern European punk who likes to build and teach, he pairs academic depth with a scrappy, community-driven approach to democratizing AI.
8 years of coding experience
Doctor of Philosophy (PhD), Mathematics, Doctor of Philosophy (PhD), Mathematics at University of Szeged
English, Hungarian
Stackoverflow
101reputation
0reached
0answers
0questions
Github Skills (10)
scikit-learn10
machine-learning10
random-forest10
python10
random-forest-classifier10
active-learning10
scikit10
optimization9
optimisation9
bayesian9
Programming languages (1)
Github contributions (5)
modAL-python/modAL
Nov 2017 - Feb 2022
A modular active learning framework for Python
Role in this project:
Backend Developer & ML Engineer
Backend Developer & ML EngineerContributions:14 releases, 12 reviews, 669 commits in 4 years 3 months
Contributions summary:Tivadar implemented core active learning algorithms, including an ActiveLearner class and query strategies for classification. They were responsible for developing core functionality of the project, including the ability to initialize active learning models, the management of model training data and the development of methods for generating uncertainty scores from predictions. Their work focused on integrating machine learning estimators, implementing utility measures, and making the framework usable for batch mode active learning.
pytorchpythonactive-learningdeep-learningmachine-learning-algorithms
cosmic-cortex/neural-networks-from-scratch
Mar 2019 - Apr 2021
An implementation of convolutional networks in NumPy!
Contributions:75 commits, 1 PR, 7 pushes in 2 years 1 month
pythonnumpyconvolutionalconvolutional-networksneural-network
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