Antonis Maronikolakis
Applied Scientist at Zalando
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolAntonis Maronikolakis is an Applied Scientist based in Berlin with 10 years of experience at the intersection of NLP research and production ML, currently working on AI initiatives at Zalando. A PhD candidate in Social NLP from LMU Munich, he has published and supervised work on hate speech, bias mitigation, few-shot learning and multilinguality for large language models. He has a strong engineering background—contributing algorithm implementations to the widely used aimacode/aima-python repo and authoring tests and algorithms in community projects—demonstrating both theoretical rigor and production-quality coding. At Zalando he improved multilingual review moderation with PET-style few-shot finetuning that matched much larger training setups, and has run Monte Carlo analyses to identify high-value training examples. Comfortable spanning research, data engineering and A/B evaluation, he blends academic insight with hands-on model development and deployment.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Natural Language Processing, Doctor of Philosophy - PhD Natural Language Processing at Ludwig-Maximilians-Universität MünchenMaster's degree Artificial Intelligence, Master's degree Artificial Intelligence at The University of SheffieldBachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at University of Piraeus
Greek, English, German
Github Skills (32)
algorithm10
unit-testing10
algorithms10
artificial-intelligence10
pytest10
python10
pandas10
machine-learning10
data-structure10
implement10
mask-rcnn10
sentiment-analysis10
keras10
deep-learning10
data-structures10
Programming languages (9)
Github contributions (5)
aimacode/aima-python
Mar 2017 - Feb 2020
Role in this project:
Back-end Developer & Algorithm Implementer
Back-end Developer & Algorithm ImplementerContributions:145 commits, 305 PRs, 95 pushes in 3 years
Contributions summary:Antonis's commits primarily focused on implementing and refining algorithms related to artificial intelligence. They made numerous changes to various Python files, notably in the `search.py` and `learning.py` files, which implement core AI algorithms from the referenced textbook. The commits involved commenting fixes, algorithm updates, and bug fixes, indicating an active role in both developing and maintaining the codebase. Furthermore, the code modifications suggest a strong understanding of the underlying mathematical concepts.
pythonpython-implementationapproachartificialmachine-learning
ZoranPandovski/al-go-rithms
Oct 2017 - Oct 2018
:musical_note: Algorithms written in different programming languages - https://zoranpandovski.github.io/al-go-rithms/
Role in this project:Data Scientist
Data ScientistContributions:9 commits, 4 PRs in 11 months
Contributions summary:Antonis contributed significantly to sentiment analysis using deep learning techniques. They implemented and updated a Convolutional Neural Network (CNN) model for sentiment classification, integrating data preprocessing, model training, and evaluation. The user also worked on data preparation and feature engineering using Python libraries like pandas and Keras, including methods to format and remove irrelevant text features. Furthermore, they demonstrated experience with model training and evaluation metrics to assess model performance.
pythoncomputer-scienceprogramming-languagejavascriptalgorithms-and-data-structures
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