— I recently graduated with a Bachelor’s degree in Artificial Intelligence from the University of Groningen, where I built a strong foundation in machine learning, deep learning, and software development. — I am proficient in Python and have solid hands-on experience with PyTorch, TensorFlow, scikit-learn, NumPy, and pandas. — During my studies, I worked on diverse ML projects spanning supervised learning, deep learning, AutoML, and reinforcement learning, including modifying and evaluating a QR-DQN agent on Atari environments, building predictive models in PyTorch, and creating a Streamlit-based AutoML platform for preprocessing, training, and evaluation. — In my internship, I developed a complete Python ML pipeline for genomic data, covering preprocessing, feature extraction, model training, and evaluation. — For my bachelor’s thesis, I built an AI-assisted bioinformatics application that integrated transcriptomic data analysis, scientific literature retrieval, and BioMistral-7B, giving me practical exposure to LLMs and NLP technologies. — I am now seeking a Machine Learning Engineer role where I can apply my skills to real-world problems while deepening my engineering and ML expertise. — I am highly curious, self-motivated, and enjoy solving technical challenges that require both theoretical understanding and practical implementation.