Specializing in probabilistic modeling, statistical inference, and data-driven decision making. Transforming complex mathematical concepts into practical machine learning solutions.
I'm a Machine Learning Engineer with a strong foundation in probabilistic modeling, statistical inference, and data-driven decision making. Currently based in Homburg, Saarland, Germany, I combine deep mathematical understanding with practical engineering skills to solve complex real-world problems.
My expertise spans across machine learning, deep learning, and statistical modeling. I'm passionate about transforming theoretical concepts into actionable solutions that drive meaningful impact. When I'm not coding or researching, I enjoy teaching mathematics online and helping others develop their analytical skills.
Analytical and curious by nature, I thrive on challenging problems that require innovative thinking and rigorous methodology. I'm always eager to collaborate on interesting projects and explore new frontiers in machine learning and artificial intelligence.
Master of Science in Machine Learning from the prestigious University of Tübingen, one of Europe's leading institutions for AI research.
Conducted cutting-edge research at the Max Planck Institute for Intelligent Systems, contributing to advances in machine learning and AI.
Published peer-reviewed paper on community detection algorithms, advancing the field of network analysis and graph theory.
I'm currently available for freelance machine learning projects and consulting. Whether you need help with data analysis, model development, or mathematical problem-solving, I'd love to hear from you.