My name is Mario, and I’m a passionate engineer who enjoys building software systems that integrate and automate data sources. My interests consist of both the technical aspects of software development and the process of extracting meaningful insights from data through statistical and machine learning methods. In addition to developing innovative solutions, I’m eager to improve, extend, and automate processes for existing systems in order to solve problems, elevate code quality, and enhance efficiency.

What motivates me is to advance further in software development and engineering practices while also expanding my expertise in data analytics, machine learning, and data visualization. Next to my technical abilities, I’m interested to hone project planning and management skills within collaborative, agile team environments.

With over a decade in the semiconductor industry as a mechatronics engineer and years in diverse roles like software engineer, academic research assistant, and data scientist, I bring a robust background complemented by a Master’s degree in Software Engineering and Management from Graz University of Technology. My career includes contributions in academia and industry, emphasizing initiative, meticulous documentation, and the clear communication of complex ideas.

My current employer is Red Bull, a global leader in giving wings to people and ideas. I work as a Data Platform Engineer in the global data department, where I focus on developing and maintaining data pipelines and platforms to support data-driven decision-making across the organization. My role involves collaborating with cross-functional teams to design and implement scalable data solutions, ensuring that our data infrastructure meets the evolving needs of the business.