I am a Research Software Engineer with a strong foundation in both industry-grade software development and academic research. Over the years, I have cultivated deep expertise in designing and implementing machine learning models, developing robust and well-tested scientific software, and engineering scalable distributed systems tailored to high-performance and data-intensive environments.
My career spans several years in the software development industry, where I have contributed to the creation of production-ready systems and tools across various domains. My experience includes the full software lifecycle — from architectural design and implementation to testing, deployment, and maintenance. I am highly proficient in system integration, real-time data processing, and data visualization, ensuring both functionality and usability in complex systems.
In parallel with my industry work, I have been actively involved in research and innovation, having participated in five European Commission–funded Horizon research programs. These projects allowed me to collaborate with interdisciplinary teams across academia, industry, and government, translating research concepts into practical, scalable software solutions. This dual focus has enabled me to bridge the gap between theoretical research and real-world application.
I am particularly skilled in cross-departmental collaboration, bringing together insights from diverse disciplines to develop innovative, computationally efficient solutions to complex challenges. My work consistently emphasizes the use of advanced computational frameworks, modern development practices, and clear communication to deliver impactful results in both scientific and engineering contexts.