AI Engineer at Agile Actors and Researcher with the AUEB Natural Language Processing Group, specializing in the end-to-end development of Generative AI and Multimodal systems. Expert in architecting Agentic RAG pipelines for complex image and document retrieval, with a deep research background in Multimodal LLMs applied to the biomedical domain. Proven track record in developing high-accuracy Diagnostic Captioning systems. Passionate about bridging the gap between cutting-edge Deep Learning research and scalable, production-ready AI solutions.
My thesis, titled “Exploring Multimodal Large Language Models for Medical Image Captioning” focused on developing state-of-the-art diagnostic captioning systems for medical images, leveraging the latest advancements in Multimodal LLMs. The research involved designing novel architectures and training strategies to enhance the accuracy and interpretability of generated captions, ultimately aiming to improve clinical decision support and patient care.
If you find my work useful, please consider citing it:
@mastersthesis{samprovalaki2024exploring,
author = {Samprovalaki, Marina},
title = {Exploring Multimodal Large Language Models for Medical Image Captioning},
school = {Athens University of Economics and Business},
year = {2024},
pages = {89},
url = {https://nlp.cs.aueb.gr/theses/m_samprovalaki_msc_thesis.pdf}
}
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