Summary
Georgios Panaretou is a researcher and engineer with nine years of experience applying deep learning and software engineering to real-world problems. Currently at Cyprus University of Technology, he focuses on diffusion models—optimizing quantization, quality, and efficiency—building on earlier NLP and anomaly-detection work using fiber-optic temperature data. He has full-stack production experience (Ruby on Rails, PostgreSQL, Hotwire, Docker) from a recent industry role, which complements his academic ML research and dataset engineering. Holding an MSc in Data Science and Engineering and a background in electrical and computer engineering, he bridges theory and production deployment. Georgios’s profile combines a practitioner’s attention to efficient systems with a researcher’s focus on cutting-edge generative models, and he often translates experimental models into practical engineering outcomes.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Data Science and Engineering, Master of Science - MS, Data Science and Engineering at Cyprus University of Technology