Summary
Alberto Sabater is a software developer with 11 years of experience, currently building backend systems in Java and Python for KISTERS AG’s water business unit. He combines formal training in Software Engineering and Computational Mathematics with hands-on work in machine learning and computer vision, including a research-oriented PhD trajectory at the University of Zaragoza. Past roles span web development, data acquisition brokers for social media, and implementing ML algorithms for data compression, reflecting a practical blend of research and production engineering. Comfortable with the scientific Python stack (numpy, scipy, pandas, scikit-learn) and JVM ecosystems, he is drawn to Big Data and ML trends and pursues self-directed learning in those areas. Based in Aachen, he brings adaptability, rapid learning, and a demonstrated ability to translate academic methods into maintainable backend features. A less obvious strength is his cross-domain fluency—bridging mathematical rigor with scalable software delivery—which helps him tackle both algorithmic and systems-level challenges.
11 years of coding experience
Computational Mathematics Degree, Mathemathics, 8, Computational Mathematics Degree, Mathemathics, 8 at Universitat Jaume I
Computer Engineering, Software Engineering, Computer Engineering, Software Engineering at Institute of Technology, Tralee
Spanish, Spanish, English