I'm Giorgos Zachariadis, a results-driven Machine Learning & AI Engineer with 2+ years of experience developing data-driven systems across diverse industries including Agronomy, Electrical Energy Management, and Biomedicine.
My work blends practical engineering with a strong research background. During my academic years, I focused on Medical Image Captioning, applying advanced deep learning techniques such as CNNs, Transformers, BERT-based models, and RNNs. As part of the ImageCLEFmedical 2022 competition, I led the Caption Prediction Task, and my systems ranked 1st and 2nd out of 10 teams. This work was also published in the CLEF 2022 proceedings.[publication].
Having an extensive experience with programming languages such as Python and Java, which I've used throughout the professional and academic career for product development, conducting analyses, and applying statistical methodologies and machine learning models. I also have experience with technologies such as SQL, Docker, Django, PyTorch, TensorFlow, and scikit-learn, as well as managing resources and deploying applications in cloud environments like Microsoft Azure and Azure DevOps. Additionally, I've developed chatbots using NLP and LLM/GenAI technologies.
