Savvas Kakalis

Computer Science and Engineering graduate from the University of Ioannina, Greece with over 2.5 years of hands-on experience in backend and full-stack software development, primarily working with Java and Spring Boot. I have contributed to system architecture design, API development, database management, and frontend features, while collaborating in team-based environments following CI/CD and deployment practices. My academic background includes a thesis on GANs applied to augmented reality lighting estimation, reflecting my early engagement with machine learning and AI-driven systems.

I am currently pursuing an M.Sc. in Signal Processing and Machine Learning for Big Data at Universidad Politécnica de Madrid (UPM), within the SSR Department. In my first semester, I completed advanced coursework in Optimization Fundamentals, Probability and Statistics, Predictive and Descriptive Learning, Time Series Analysis, and Optimization Techniques for Massive Data. In the current semester, I am further developing my expertise through courses such as Big Data for Image and Video Signals, Large-Scale Media Analytics, Reinforcement Learning, Application Projects, and Signal Processing for Massive Data, further strengthening my foundation in machine learning and large-scale data processing.

• Swimming
• Tennis
• Running
• Piano