Early Stage Researcher in Marie-Curie Funded Project (H2020 Agreement ID: 860627), 2021–Present
Conducted research in the CLARIFY Project, focusing on Content-Based Medical Image Retrieval (CBMIR) for histopathological images. Developed Python algorithms for image processing and collaborated with international researchers and pathologists to advance CBMIR methodologies and improve image retrieval systems.,Software Developer, Tyris Software Company, 2020–Present,Specialized in histopathological image processing and analysis, implementing tailored solutions for medical imaging challenges using advanced techniques.,Research Fellow, University of Stavanger (UiS), Sep 2021–Dec 2021,Developed an unsupervised classification approach for histopathological cancer images, leveraging the largest pixel-wise annotated prostate cancer dataset. Designed a high-performance classifier for accurate cancer detection without relying on non-histopathological pre-trained models.,Research Fellow, University of Granada (UGR), Jun 2022–Jul 2022,Investigated the impact of color normalization on feature extraction and retrieval accuracy in CBMIR systems, focusing on histopathological image analysis.
Skills:
Programming & Tools,Proficient in Python (TensorFlow, OpenCV, matplotlib), MATLAB, VScode, Docker, FastAPI, Streamlit, and SQL.,Technical Expertise,Skilled in neural networks, convolutional neural networks (CNNs), deep learning architectures, image preprocessing, feature extraction, object detection, computer vision techniques, and machine learning.,Teaching & Content Creation,Experienced in academic writing and creating instructional content on Python, machine learning, and image processing platforms.