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JD

Jonas De Maeyer

Master's Thesis @ University of Antwerp
Flandre-Orientale, Belgique

AI and machine learning specialist with expertise in reinforcement learning and natural language processing, and strong experience in Python and C++ development. Skilled in building and evaluating data-driven models using modern ML frameworks. Analytical, disciplined, and detail-oriented, with a strong drive to develop reliable, efficient, and high-impact AI solutions.

Tech stack

Miscellaneous

Machine Learning
Programming Paradigms
Real-time computing

Back-end

C++
Python

ETL Datawarehouse

DataStage
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Courant Dutch
Dutch
Courant
English
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Expériences professionnelles
Since 2023
Master's Thesis @ University of Antwerp
01 September 2024 - 01 September 2025

Investigated path planning in dynamic environments using multi-agent reinforcement learning (MARL). Developed a hierarchical environment-splitting framework to enable efficient regional retraining.

Research Internship @ University of Antwerp
01 September 2023 - 01 September 2024

Investigated several explanation methods for NLP models (LIME, SHAP, DeepLIFT, Integrated Gradients). Developed an evaluation framework with six criteria assessing properties such as faithfulness, consistency, and compactness.

Études et diplômes
Since 2023
Data Science and AI @ university of antwerp
01 September 2025 - 30 September 2025

Master of Science (M.S.) in Computer Science: Data Science and AI graduated with distinction (75%).

Computer Science @ university of antwerp
01 September 2023 - 30 September 2023

Bachelor of Science (B.S.) in Computer Science graduated with highest distinction (85%).

Connect with Jonas De Maeyer

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